Triple

T16009872
Position Surface form Disambiguated ID Type / Status
Subject Simone Kirby E388309 entity
Predicate workedWith P398 FINISHED
Object Ken Loach E47447 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: Ken Loach | Statement: [Simone Kirby, workedWith, Ken Loach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken Loach
Context triple: [Simone Kirby, workedWith, Ken Loach]
  • A. Ken Loach chosen
    Ken Loach is a renowned British film director known for his socially conscious, realist dramas that focus on working-class life and political issues.
  • B. Danny Boyle
    Danny Boyle is an acclaimed British film director and producer known for movies such as "Trainspotting," "Slumdog Millionaire," and "28 Days Later."
  • C. Peter Mullan
    Peter Mullan is a Scottish actor and filmmaker known for his intense character roles in films such as "My Name Is Joe," "Trainspotting," and "War Horse."
  • D. George Swinton
    George Swinton was a notable member of the prominent Swinton family, recognized for his role in public service and contributions to British civic life.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1828f8c688190a6b365f9140cd2d8 completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf24a9d8819083d7b11d71442da6 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.