Triple

T20248100
Position Surface form Disambiguated ID Type / Status
Subject Close Enough E498477 entity
Predicate productionCompany P490 FINISHED
Object Studio T 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: Studio T | Statement: [Close Enough, productionCompany, Studio T]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Studio T
Context triple: [Close Enough, productionCompany, Studio T]
  • A. Studio T chosen
    Studio T is a television production company known for producing scripted series, including the period crime drama "The Alienist."
  • B. Studio B
    Studio B is a recording and production room within Fantasy Studios, a renowned professional studio complex used for music, film, and other audio projects.
  • C. Studio B
    Studio B is one of the professional recording studios located within Prince’s famed Paisley Park complex in Minnesota.
  • D. Studio B
    Studio B is a recording studio room within the historic Bearsville Studios complex, used for professional music production and audio recording.
  • E. Studio B
    Studio B is one of the professional recording rooms within Electrical Audio, a renowned Chicago-based recording studio complex founded by Steve Albini.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673a5ce4081908dff86ed4c613fd6 completed April 20, 2026, 6:42 p.m.
Created at: April 11, 2026, 11:40 p.m.