Triple

T17171245
Position Surface form Disambiguated ID Type / Status
Subject Lola (Kinky Boots) E416737 entity
Predicate createdBy P806 FINISHED
Object Tim Firth E1230329 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: Tim Firth | Statement: [Lola (Kinky Boots), createdBy, Tim Firth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Firth
Context triple: [Lola (Kinky Boots), createdBy, Tim Firth]
  • A. Tim Firth chosen
    Tim Firth is a British playwright and screenwriter known for works such as the hit film and stage musical "Calendar Girls."
  • B. Will Firth
    Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
  • C. Jason Kingsley
    Jason Kingsley is a British entrepreneur and game developer best known as the co-founder and CEO of the video game studio Rebellion Developments.
  • D. Matt Robson-Scott
    Matt Robson-Scott is a British electronic music producer and DJ best known as one half of the house duo Gorgon City.
  • E. Thomas Turgoose
    Thomas Turgoose is an English actor best known for his breakthrough role in the film "This Is England" and subsequent work in British independent cinema.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc097950819095631ee5679e03af completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0180c5e2dc81909f843a07bbf7e41c completed May 11, 2026, 7:09 a.m.
Created at: April 10, 2026, 5:37 a.m.