Triple

T613164
Position Surface form Disambiguated ID Type / Status
Subject Frances E12143 entity
Predicate hasNotableBearerExample P458 FINISHED
Object Frances McDormand
Frances McDormand is an acclaimed American actress known for her powerful, understated performances in films such as "Fargo," "Three Billboards Outside Ebbing, Missouri," and "Nomadland," for which she has won multiple Academy Awards.
E76562 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Frances McDormand | Statement: [Frances, hasNotableBearerExample, Frances McDormand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frances McDormand
Context triple: [Frances, hasNotableBearerExample, Frances McDormand]
  • A. Julianne Moore
    Julianne Moore is an acclaimed American actress known for her emotionally nuanced performances in both independent films and major studio productions, including multiple Oscar-nominated roles and a Best Actress win for "Still Alice."
  • B. Melissa Leo
    Melissa Leo is an American actress acclaimed for her powerful character roles in film and television, including her Oscar-winning performance in "The Fighter."
  • C. Laura Linney
    Laura Linney is an American actress acclaimed for her versatile performances in film, television, and theater, with notable roles in works such as "You Can Count on Me," "The Truman Show," and the series "Ozark."
  • D. Patricia Arquette
    Patricia Arquette is an American actress acclaimed for her versatile film and television roles, including award-winning performances in projects like "Medium" and "Boyhood."
  • E. Tilda Swinton
    Tilda Swinton is a British actress known for her chameleonic performances in independent and mainstream films, often portraying unconventional and androgynous characters.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Frances McDormand
Triple: [Frances, hasNotableBearerExample, Frances McDormand]
Generated description
Frances McDormand is an acclaimed American actress known for her powerful, understated performances in films such as "Fargo," "Three Billboards Outside Ebbing, Missouri," and "Nomadland," for which she has won multiple Academy Awards.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frances McDormand
Target entity description: Frances McDormand is an acclaimed American actress known for her powerful, understated performances in films such as "Fargo," "Three Billboards Outside Ebbing, Missouri," and "Nomadland," for which she has won multiple Academy Awards.
  • A. Julianne Moore
    Julianne Moore is an acclaimed American actress known for her emotionally nuanced performances in both independent films and major studio productions, including multiple Oscar-nominated roles and a Best Actress win for "Still Alice."
  • B. Melissa Leo
    Melissa Leo is an American actress acclaimed for her powerful character roles in film and television, including her Oscar-winning performance in "The Fighter."
  • C. Laura Linney
    Laura Linney is an American actress acclaimed for her versatile performances in film, television, and theater, with notable roles in works such as "You Can Count on Me," "The Truman Show," and the series "Ozark."
  • D. Patricia Arquette
    Patricia Arquette is an American actress acclaimed for her versatile film and television roles, including award-winning performances in projects like "Medium" and "Boyhood."
  • E. Tilda Swinton
    Tilda Swinton is a British actress known for her chameleonic performances in independent and mainstream films, often portraying unconventional and androgynous characters.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableBearerExample
Context triple: [Frances, hasNotableBearerExample, Frances McDormand]
  • A. hasNotableBearer chosen
    Indicates that an entity (such as a name, title, or identifier) is borne by at least one notable person or entity.
  • B. hasNotableFieldOfBearers
    Indicates that the entities share a significant or distinguished area of activity, expertise, or achievement associated with their bearers.
  • C. hasStandardBearer
    Indicates that one entity serves as the official flag- or standard-carrier for another entity, typically in a ceremonial, military, or representative capacity.
  • D. hasExample
    Indicates that one entity serves as an instance, illustration, or concrete example of another entity.
  • E. hasNotableBearerOccupation
    Indicates that an entity is associated with a notable person who holds a specific occupation.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49e08dbf88190ab050078a63e266b completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a533dabe288190ab25bd6d76e79d06 completed March 2, 2026, 6:53 a.m.
NEDg Description generation batch_69a54e4849f48190868d7b624e450dc3 completed March 2, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_69a55048e2ec81908d306f44b2ca24fa completed March 2, 2026, 8:54 a.m.
PD Predicate disambiguation batch_69a49cfbcbf88190a854921dc531eba8 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:35 p.m.