Triple

T17428405
Position Surface form Disambiguated ID Type / Status
Subject Vision Theatre E423803 entity
Predicate name P16 FINISHED
Object Vision Theatre 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: Vision Theatre | Statement: [Vision Theatre, name, Vision Theatre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vision Theatre
Context triple: [Vision Theatre, name, Vision Theatre]
  • A. Vision Theatre chosen
    Vision Theatre is a historic performing arts venue in Los Angeles’ Leimert Park neighborhood, known for showcasing African American arts and community cultural events.
  • B. Vista Theatre
    Vista Theatre is a historic single-screen movie theater in Los Angeles known for its distinctive Egyptian-style architecture and classic film screenings.
  • C. Canon Theatre
    Canon Theatre was a historic Toronto live-performance venue later renamed the Ed Mirvish Theatre.
  • D. Star Theatre
    Star Theatre is a historic small-town movie theater and cultural venue located in Berkeley Springs, West Virginia.
  • E. Shiva Theater
    Shiva Theater is one of the performance spaces within New York City's Public Theater complex, used for staging a variety of theatrical productions.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e448fdc1348190985db52c8c74c394 completed April 19, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:46 a.m.