Triple

T14888782
Position Surface form Disambiguated ID Type / Status
Subject Lauren Graham E359697 entity
Predicate starredIn P1668 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: [Lauren Graham, starredIn, The Pacifier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Pacifier
Context triple: [Lauren Graham, starredIn, 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f6cf5c8190b6b28f58fafe5d59 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b5f22c08190a9530cbd78cfc801 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 2:09 a.m.