Triple

T3933342
Position Surface form Disambiguated ID Type / Status
Subject Larry Daley E90847 entity
Predicate hasChild P369 FINISHED
Object Nick Daley E435579 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: Nick Daley | Statement: [Larry Daley, hasChild, Nick Daley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Daley
Context triple: [Larry Daley, hasChild, Nick Daley]
  • A. Nick Daley chosen
    Nick Daley is a fictional character from the "Night at the Museum" film series, known as the son of protagonist Larry Daley.
  • B. Darren Morfitt
    Darren Morfitt is a British actor known for his roles in television dramas and genre series, including appearances in Doctor Who.
  • C. Dan Janvey
    Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
  • D. Chris Larkin
    Chris Larkin is a British actor known for his work in film, television, and theatre, and for being the son of acclaimed actress Maggie Smith.
  • E. Jon Plowman
    Jon Plowman is a British television producer best known for his influential work on BBC comedies, including series such as Absolutely Fabulous and The Office.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedcab1808190bf653f29062cdddb completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f59af660819083785bda45935ae4 completed March 14, 2026, 11:56 p.m.
Created at: March 9, 2026, 3:23 p.m.