Triple

T3567106
Position Surface form Disambiguated ID Type / Status
Subject Ted Danson E75475 entity
Predicate notableWork P4 FINISHED
Object Three Men and a Baby E356987 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: Three Men and a Baby | Statement: [Ted Danson, notableWork, Three Men and a Baby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Three Men and a Baby
Context triple: [Ted Danson, notableWork, Three Men and a Baby]
  • A. Three Men and a Baby chosen
    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.
  • B. The Pacifier
    The Pacifier is a 2005 family action-comedy film starring Vin Diesel as a Navy SEAL assigned to protect a group of children.
  • C. Stepmom
    Stepmom is a 1998 American drama film about the evolving relationship between a terminally ill mother and her children’s young stepmother, starring Susan Sarandon and Julia Roberts.
  • D. Mr. Mom
    Mr. Mom is a 1983 comedy film about an unemployed father who becomes a stay-at-home parent, widely recognized for showcasing Michael Keaton in one of his early breakout roles.
  • E. Father of the Bride
    Father of the Bride is a classic 1950 American comedy film about a father's humorous and emotional struggles as he prepares for his daughter's wedding.
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0aa0fcc8190bc99df68d2bd9139 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbb01d108190bd098c86b0180b78 completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:21 p.m.