Triple

T18943978
Position Surface form Disambiguated ID Type / Status
Subject The Slaughter Rule E463458 entity
Predicate editedBy P1954 FINISHED
Object Michael Taylor NE NERFINISHED

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: Michael Taylor | Statement: [The Slaughter Rule, editedBy, Michael Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Taylor
Context triple: [The Slaughter Rule, editedBy, Michael Taylor]
  • A. Michael Taylor chosen
    Michael Taylor is a film editor known for his work on movies such as the coming-of-age drama "Very Good Girls."
  • B. Michael Taylor
    Michael Taylor is a film producer known for his work on the thriller "Never Talk to Strangers."
  • C. Michael Taylor
    Michael Taylor is one of the two unconventional father figures raising a teenage girl in the American sitcom "My Two Dads."
  • D. Mike Taylor
    Mike Taylor is a film editor known for his work on the acclaimed British gangster film "The Long Good Friday."
  • E. Mike Taylor
    Mike Taylor is a songwriter best known for co-writing the classic John Denver hit "Sunshine on My Shoulders."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d53e6e0c81908a547e21c4819bac completed April 20, 2026, 7:26 a.m.
Created at: April 10, 2026, 11:59 a.m.