Triple

T9872996
Position Surface form Disambiguated ID Type / Status
Subject Brad Garrett E240002 entity
Predicate notableFilmWork P26606 FINISHED
Object The Pacifier E177095 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: The Pacifier | Statement: [Brad Garrett, notableFilmWork, The Pacifier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Pacifier
Context triple: [Brad Garrett, notableFilmWork, The Pacifier]
  • A. The Pacifier chosen
    The Pacifier is a 2005 family action-comedy film starring Vin Diesel as a Navy SEAL assigned to protect a group of children.
  • B. Three Men and a Baby
    Three Men and a Baby is a 1987 American comedy film about three bachelors whose carefree lives are upended when they unexpectedly become caretakers of an abandoned infant.
  • C. Tootsie
    Tootsie is a 1982 American comedy film in which Dustin Hoffman plays an out-of-work actor who disguises himself as a woman to land a role, leading to unexpected fame and complications.
  • D. Daddy Day Care
    Daddy Day Care is a 2003 family comedy film about two unemployed fathers who start an improvised daycare center, leading to chaotic and humorous situations.
  • E. "The Peg"
    The Peg is a named entity whose specific nature or context is not clearly defined beyond its title.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3f754008190abe3fe034b42908e completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e46f18148190a36af7e7d7487205 completed April 5, 2026, 4:26 a.m.
Created at: March 30, 2026, 8:37 p.m.