Triple

T21873081
Position Surface form Disambiguated ID Type / Status
Subject Time and a Word E540056 entity
Predicate recordedAt P7677 FINISHED
Object Advision Studios 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: Advision Studios | Statement: [Time and a Word, recordedAt, Advision Studios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Advision Studios
Context triple: [Time and a Word, recordedAt, Advision Studios]
  • A. Adaptive Studios
    Adaptive Studios is a media company known for developing and producing film, television, and digital content, often by reviving and reimagining dormant intellectual property.
  • B. Gigapix Studios
    Gigapix Studios is a film and television production company known for its involvement in producing the comedy series "Workaholics."
  • C. Skyline Studios chosen
    Skyline Studios is a professional recording studio known for hosting music production and album recording sessions.
  • D. Zoetrope Studios
    Zoetrope Studios was an influential American film production company founded by Francis Ford Coppola, known for its innovative, auteur-driven approach to filmmaking in the 1970s and 1980s.
  • E. Trilith Studios
    Trilith Studios is a major film and television production complex in Georgia known for hosting large-scale projects, including many Marvel Cinematic Universe movies.
  • 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_69e0c478f59081909d54302b57fc1ce3 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f337ab5c8190937a457d348c732b completed April 28, 2026, 5:49 p.m.
Created at: April 16, 2026, 7:01 p.m.