Triple

T9597379
Position Surface form Disambiguated ID Type / Status
Subject Fox Theater Oakland E231565 entity
Predicate openedAsMoviePalace P89133 FINISHED
Object 1928 — LITERAL 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: 1928 | Statement: [Fox Theater Oakland, openedAsMoviePalace, 1928]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: openedAsMoviePalace
Context triple: [Fox Theater Oakland, openedAsMoviePalace, 1928]
  • A. cinemaStatus
    Indicates the current operational or functional state of a cinema, such as whether it is open, closed, or otherwise restricted.
  • B. filmSettingTheater
    Indicates that a film’s setting or key scenes take place in a theater (such as a cinema or playhouse).
  • C. opensFilm
    Indicates that one entity is the opening film of another entity, such as a festival, series, or program.
  • D. workPremiereTheater
    Indicates the theater where a work (such as a play, film, or performance) was first publicly premiered.
  • E. primaryCinema
    Indicates that one entity is the main or most significant cinema associated with another entity (such as a person, work, or event).
  • F. None of above. chosen

Provenance (4 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_69ca8482884481908eccdfdf64d6fbf7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a34f5408190ba72ba8311eb259c completed April 1, 2026, 10:20 p.m.
PD Predicate disambiguation batch_69ccd5a359788190b24f82399489f7fe completed April 1, 2026, 8:21 a.m.
PDg Predicate description generation batch_69ccd93fc45c8190a823305e461e581d completed April 1, 2026, 8:37 a.m.
Created at: March 30, 2026, 8:07 p.m.