Triple

T1508434
Position Surface form Disambiguated ID Type / Status
Subject GE Building E33955 entity
Predicate houses P1643 FINISHED
Object NBC Studios E2196 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: NBC Studios | Statement: [GE Building, houses, NBC Studios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NBC Studios
Context triple: [GE Building, houses, NBC Studios]
  • A. 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.
  • B. ABC studios
    ABC Studios is a television production facility and studio complex associated with the American Broadcasting Company, used for producing and filming various TV shows and game shows.
  • C. CBS Corporation
    CBS Corporation was a major American mass media conglomerate best known for owning the CBS television network and various broadcasting and entertainment assets.
  • D. NBC chosen
    NBC is a major American broadcast television network known for its nationwide programming, including news, sports, and entertainment.
  • E. Buena Vista Television
    Buena Vista Television was the television distribution arm of The Walt Disney Company, responsible for syndicating many of its popular series and other programming.
  • 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_69a885f352a4819099b24ff15489dede completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a8891daf708190a23d6c920eac8b6d completed March 4, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad23397c048190b1d2097874ed1792 completed March 8, 2026, 7:20 a.m.
Created at: March 4, 2026, 7:24 p.m.