Triple

T17944608
Position Surface form Disambiguated ID Type / Status
Subject Lauren Ambrose E448670 entity
Predicate trainedAt P2858 FINISHED
Object HB Studio 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: HB Studio | Statement: [Lauren Ambrose, trainedAt, HB Studio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HB Studio
Context triple: [Lauren Ambrose, trainedAt, HB Studio]
  • A. HB Studio chosen
    HB Studio is a renowned New York City acting school and studio known for training many prominent stage and screen actors.
  • B. Bron Studios
    Bron Studios is a Canadian film and television production company known for financing and producing a range of high-profile, award-winning Hollywood projects.
  • C. Studio 36
    Studio 36 is a prominent soundstage within CBS Television City in Los Angeles, used for the production of major television programs.
  • D. 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.
  • E. 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.
  • 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad9819a88190ad4ea7d562cf3f28 completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.