Triple

T22546239
Position Surface form Disambiguated ID Type / Status
Subject Odd Man Out E557435 entity
Predicate productionCompany P490 FINISHED
Object Two Cities Films 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: Two Cities Films | Statement: [Odd Man Out, productionCompany, Two Cities Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Two Cities Films
Context triple: [Odd Man Out, productionCompany, Two Cities Films]
  • A. Two Cities Films chosen
    Two Cities Films was a prominent British film production company active during the 1940s, known for producing acclaimed wartime and postwar films.
  • B. Two Cities Television
    Two Cities Television is a British production company known for creating high-end television dramas, including the acclaimed series "Patrick Melrose."
  • C. Les Trois Villes
    Les Trois Villes is a trilogy of novels by Émile Zola that explores social, political, and religious themes through the stories of three French cities: Lourdes, Rome, and Paris.
  • D. Les Films du Siècle
    Les Films du Siècle is a French film production company known for backing various French and international cinema projects.
  • E. City of Film
    City of Film is a UNESCO Creative Cities Network title awarded to cities recognized for their rich film heritage, active film industry, and strong commitment to cinema-related culture and education.
  • 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f35b9888190b4e1b50d5097b211 completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:51 p.m.