Triple

T16816015
Position Surface form Disambiguated ID Type / Status
Subject Looking for Eric E408750 entity
Predicate director P255 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: [Looking for Eric, director, Ken Loach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken Loach
Context triple: [Looking for Eric, director, 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e1de908190aa3508770fb865cf completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb0f863081908e74dc4a7c91e91d completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:23 a.m.