Triple

T10996861
Position Surface form Disambiguated ID Type / Status
Subject Andrew Macdonald E259894 entity
Predicate collaboratesWith P37 FINISHED
Object Danny Boyle E42207 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: Danny Boyle | Statement: [Andrew Macdonald, collaboratesWith, Danny Boyle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danny Boyle
Context triple: [Andrew Macdonald, collaboratesWith, Danny Boyle]
  • A. Danny Boyle chosen
    Danny Boyle is an acclaimed British film director and producer known for movies such as "Trainspotting," "Slumdog Millionaire," and "28 Days Later."
  • B. Stephen Daldry
    Stephen Daldry is an acclaimed British theatre and film director and producer known for works such as "Billy Elliot," "The Hours," and "The Reader."
  • C. Simon Gavron
    Simon Gavron is the father of British-American actor Rafi Gavron.
  • D. Michael Winterbottom
    Michael Winterbottom is a prolific and versatile British film director known for politically engaged dramas and innovative, genre-spanning works such as "24 Hour Party People," "The Road to Guantánamo," and "A Mighty Heart."
  • E. Mike Figgis
    Mike Figgis is a British film director, screenwriter, and composer best known for his innovative, often experimental work in cinema, including the acclaimed film "Leaving Las Vegas."
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d795d6572c8190a47d68483863ad7a completed April 9, 2026, 12:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3452420c08190b9c91a9c8a807670 completed April 18, 2026, 8:47 a.m.
Created at: April 8, 2026, 9:24 p.m.