Triple

T9203074
Position Surface form Disambiguated ID Type / Status
Subject Nigel Sinclair E220896 entity
Predicate coFounded P104 FINISHED
Object Spitfire Pictures E434265 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: Spitfire Pictures | Statement: [Nigel Sinclair, coFounded, Spitfire Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spitfire Pictures
Context triple: [Nigel Sinclair, coFounded, Spitfire Pictures]
  • A. Spitfire Pictures chosen
    Spitfire Pictures is a film production company known for producing high-profile music and cultural documentaries.
  • B. Maverick Films
    Maverick Films is a film production company known for backing independent and genre-driven movies, including the crime comedy-drama "Gridlock'd."
  • C. Wardour Films
    Wardour Films was a British film distribution company active in the early 20th century, known for handling the release of numerous silent and early sound films in the United Kingdom.
  • D. Alliance Films
    Alliance Films was a major Canadian film distribution and production company known for releasing a wide range of independent and international movies in Canada and other markets.
  • E. Capstone Pictures
    Capstone Pictures is a film production company best known for producing the crime thriller "Lucky Number Slevin."
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd944e6208190adfcc7f75197387d completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c4953588190aa842de269eee56c completed April 4, 2026, 12:33 a.m.
Created at: March 30, 2026, 7:26 p.m.