Triple

T8084252
Position Surface form Disambiguated ID Type / Status
Subject Support Your Local Sheriff! E188691 entity
Predicate starring P1507 FINISHED
Object Joan Hackett E691151 NE FINISHED

How this triple was built (2 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: Joan Hackett | Statement: [Support Your Local Sheriff!, starring, Joan Hackett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joan Hackett
Context triple: [Support Your Local Sheriff!, starring, Joan Hackett]
  • A. Joan Hackett chosen
    Joan Hackett was an American actress known for her acclaimed work in film, television, and theater during the 1960s and 1970s, often portraying complex, intelligent female characters.
  • B. Joan Hotchkis
    Joan Hotchkis was an American actress and writer known for her work in film, television, and theater during the mid-20th century.
  • C. Barbara Hackett
    Barbara Hackett is a Canadian businesswoman and home renovator best known as the wife of former Toronto mayor John Tory.
  • D. Joan Haverty
    Joan Haverty was an American woman best known as the second wife of Beat Generation writer Jack Kerouac and the mother of his only acknowledged child, Jan Kerouac.
  • E. Joanne Herring
    Joanne Herring is a Houston socialite, political activist, and businesswoman known for her influential role in supporting U.S. involvement with Afghan resistance fighters during the Soviet–Afghan War.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb415e61ac81909e924aea69a7ff77 completed March 31, 2026, 3:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d57d88cf8c81909fef61dd01bba5da completed April 7, 2026, 9:56 p.m.
Created at: March 30, 2026, 5:29 p.m.