Triple

T671653
Position Surface form Disambiguated ID Type / Status
Subject Class E12983 entity
Predicate productionCompany P490 FINISHED
Object BBC Studios E12985 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: BBC Studios | Statement: [Class, productionCompany, BBC Studios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC Studios
Context triple: [Class, productionCompany, BBC Studios]
  • A. BBC Studios chosen
    BBC Studios is the commercial production and distribution arm of the British Broadcasting Corporation, responsible for creating, selling, and licensing a wide range of television content worldwide.
  • B. CBS Studios
    CBS Studios is a major American television production company responsible for creating and distributing many of CBS’s scripted series and other programming.
  • C. Foy Productions
    Foy Productions was a film production company active in the late 1920s, notably involved in early sound cinema.
  • D. StudioCanal
    StudioCanal is a major European film production and distribution company known for financing and distributing a wide range of international cinema.
  • E. Buena Vista International
    Buena Vista International is a global film distribution company historically associated with The Walt Disney Company, responsible for releasing many of its movies in international markets.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a021b908819086f7cfe65def4728 completed March 1, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c39f3e1481908f395cdb19cfd2fc completed March 2, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:36 p.m.