Triple

T11088605
Position Surface form Disambiguated ID Type / Status
Subject Paul Laverty E262188 entity
Predicate collaboratedWith P435 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: [Paul Laverty, collaboratedWith, Ken Loach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken Loach
Context triple: [Paul Laverty, collaboratedWith, 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. 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."
  • E. Mike Leigh
    Mike Leigh is an acclaimed British film and theatre director and screenwriter known for his improvisation-based method and socially realist works such as "Secrets & Lies" and "Vera Drake."
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799e844b08190987c7c8e8d626510 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6849dbff08190a352eaaea8606bdb completed April 20, 2026, 7:55 p.m.
Created at: April 8, 2026, 9:27 p.m.