Triple

T18198050
Position Surface form Disambiguated ID Type / Status
Subject Mari Blanchard E435711 entity
Predicate givenName P17 FINISHED
Object Mary
Mary is the given name of American actress Mari Blanchard, known for her roles in 1950s and 1960s films and television.
E1310824 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: Mary | Statement: [Mari Blanchard, givenName, Mary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary
Context triple: [Mari Blanchard, givenName, Mary]
  • A. Mary
    Mary is the given name of Mary Jo Kopechne, the American political campaign specialist who died in the 1969 Chappaquiddick incident involving Senator Ted Kennedy.
  • B. Mary
    Mary is the middle name of Edith Tolkien, the wife of author J.R.R. Tolkien.
  • C. Mary
    Mary is the central protagonist of the play "The Memory of Water," around whom the story’s emotional and familial conflicts revolve.
  • D. Mary
    Mary is the birth name of American actress, comedian, and writer Lily Tomlin, known for her groundbreaking work in television, film, and theater.
  • E. Mary
    Mary is the given name of the American stage and film actress Josephine Hull, known for her roles in classic mid-20th-century theater and cinema.
  • 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: Mary
Triple: [Mari Blanchard, givenName, Mary]
Generated description
Mary is the given name of American actress Mari Blanchard, known for her roles in 1950s and 1960s films and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary
Target entity description: Mary is the given name of American actress Mari Blanchard, known for her roles in 1950s and 1960s films and television.
  • A. Mary
    Mary is the given name of American character actress Marjorie Main, known for her roles in classic Hollywood films.
  • B. Mary
    Mary is the given name of American silent film actress Mae Marsh, known for her roles in early 20th-century cinema.
  • C. Mary
    Mary is the given name of American actress Mary Beth Hurt, known for her work in film, television, and theater.
  • D. Mary
    Mary is the given name of American actress and singer-songwriter Mare Winningham, known for her work in film, television, and music.
  • E. Mary
    Mary is the given name of American actress, singer, director, and screenwriter Mary Kay Place, known for her work in film and television since the 1970s.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d47f1c819082eec59492497797 completed April 19, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03980d47e881909377b7e9ab4a02e6 completed May 12, 2026, 9:13 p.m.
NEDg Description generation batch_6a039945b8948190a7bd1ba03ecb0c60 completed May 12, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_6a0399f0610881908a3d2f578233347c completed May 12, 2026, 9:21 p.m.
Created at: April 10, 2026, 10:31 a.m.