Triple

T12537552
Position Surface form Disambiguated ID Type / Status
Subject Pinewood E299737 entity
Predicate hasName P744 FINISHED
Object Pinewood E299737 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: Pinewood | Statement: [Pinewood, hasName, Pinewood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinewood
Context triple: [Pinewood, hasName, Pinewood]
  • A. Pinewood chosen
    Pinewood is a village and civil parish located in the county of Suffolk in eastern England.
  • B. Pinewood Studios
    Pinewood Studios is a major British film and television production studio complex in Buckinghamshire, renowned for hosting numerous iconic movies and franchises.
  • C. Pinewood Park
    Pinewood Park is a public recreational park located in the city of Kentwood, Michigan.
  • D. 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.
  • E. 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.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546ebf508190ae54857e4289c6e4 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6557a95d48190ac588807544f060f completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.