Triple

T12139565
Position Surface form Disambiguated ID Type / Status
Subject Anne Heche E289147 entity
Predicate familyName P18 FINISHED
Object Heche
Heche is the surname of Anne Heche, an American actress known for her work in film, television, and theater.
E968256 NE FINISHED

How this triple was built (4 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: Heche | Statement: [Anne Heche, familyName, Heche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heche
Context triple: [Anne Heche, familyName, Heche]
  • A. Meryl
    Meryl is the given name of American actress Mary Louise "Meryl" Streep, widely regarded as one of the greatest film actors of her generation.
  • B. Rutanya Alda
    Rutanya Alda is a Latvian-American character actress known for her roles in films such as "The Deer Hunter," "Mommie Dearest," and numerous other horror and drama movies.
  • C. Vivica
    Vivica is the first name of American actress and producer Vivica A. Fox, known for her roles in film and television since the 1990s.
  • D. Carice
    Carice is a Dutch given name best known internationally through actress Carice van Houten.
  • E. Myrna
    Myrna is a feminine given name most famously associated with American film actress Myrna Loy.
  • 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: Heche
Triple: [Anne Heche, familyName, Heche]
Generated description
Heche is the surname of Anne Heche, an American actress known for her work in film, television, and theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Heche
Target entity description: Heche is the surname of Anne Heche, an American actress known for her work in film, television, and theater.
  • A. Meryl
    Meryl is the given name of American actress Mary Louise "Meryl" Streep, widely regarded as one of the greatest film actors of her generation.
  • B. Rutanya Alda
    Rutanya Alda is a Latvian-American character actress known for her roles in films such as "The Deer Hunter," "Mommie Dearest," and numerous other horror and drama movies.
  • C. Vivica
    Vivica is the first name of American actress and producer Vivica A. Fox, known for her roles in film and television since the 1990s.
  • D. Carice
    Carice is a Dutch given name best known internationally through actress Carice van Houten.
  • E. Myrna
    Myrna is a feminine given name most famously associated with American film actress Myrna Loy.
  • F. None of above. chosen

Provenance (5 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158eef48819083bdce283a363414 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f690ae408190966bb4fe8feaa7d2 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f6022ecf38819080f0eb6a3a815c5b completed May 2, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_69f606560934819092ba4d4fa162b799 completed May 2, 2026, 2:12 p.m.
Created at: April 8, 2026, 9:49 p.m.