Triple

T18222784
Position Surface form Disambiguated ID Type / Status
Subject Guy Green E436346 entity
Predicate employer P7 FINISHED
Object Pinewood Studios NE NERFINISHED

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: Pinewood Studios | Statement: [Guy Green, employer, Pinewood Studios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinewood Studios
Context triple: [Guy Green, employer, Pinewood Studios]
  • A. Pinewood Studios chosen
    Pinewood Studios is a major British film and television production studio complex in Buckinghamshire, renowned for hosting numerous iconic movies and franchises.
  • B. Pinewood
    Pinewood is a village and civil parish located in the county of Suffolk in eastern England.
  • C. Denham Film Studios
    Denham Film Studios was a major British film production complex in Buckinghamshire, England, active primarily in the 1930s and 1940s and known for hosting numerous classic British films.
  • D. Shepperton Studios
    Shepperton Studios is a major British film studio complex in Surrey, England, renowned for hosting the production of numerous high-profile films and television series.
  • E. Elstree Studios
    Elstree Studios is a historic British film and television production facility in Hertfordshire, England, known for hosting the making of numerous iconic movies and TV shows.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e47c85108190bd9707b40bdfdb38 completed April 19, 2026, 2:19 p.m.
Created at: April 10, 2026, 10:32 a.m.