Triple

T8447556
Position Surface form Disambiguated ID Type / Status
Subject Ewen Bremner E199712 entity
Predicate workedWith P398 FINISHED
Object Robert Carlyle E295567 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: Robert Carlyle | Statement: [Ewen Bremner, workedWith, Robert Carlyle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Carlyle
Context triple: [Ewen Bremner, workedWith, Robert Carlyle]
  • A. Robert Carlyle chosen
    Robert Carlyle is a Scottish actor known for his intense and versatile performances in films such as "Trainspotting," "The Full Monty," and "28 Weeks Later," as well as the TV series "Once Upon a Time."
  • B. David Craig
    David Craig is a senior Royal Air Force officer who rose to become Chief of the Air Staff and later Chief of the Defence Staff of the United Kingdom.
  • C. David Craig
    David Craig was the husband of American actress, comedian, and director Nancy Walker.
  • D. Brian Michael Cox
    Brian Michael Cox is a Grammy-winning American songwriter and record producer known for his work on numerous R&B and pop hits.
  • E. Richard Madden
    Richard Madden is a Scottish actor best known for his role as Robb Stark in the television series "Game of Thrones" and for starring in various high-profile film and TV productions.
  • 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe44480ec8190b32443a53cd4f943 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1db6330c81909c853c453fddf3c5 completed April 2, 2026, 7:41 a.m.
Created at: March 30, 2026, 6:09 p.m.