Triple

T92250
Position Surface form Disambiguated ID Type / Status
Subject Annenberg Center for the Performing Arts E1853 entity
Predicate hasTypeOfProgramming P2192 FINISHED
Object theatre 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: theatre | Statement: [Annenberg Center for the Performing Arts, hasTypeOfProgramming, theatre]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypeOfProgramming
Context triple: [Annenberg Center for the Performing Arts, hasTypeOfProgramming, theatre]
  • A. programType chosen
    Indicates the category or kind of program to which an entity belongs or with which it is associated.
  • B. programmingLanguage
    Indicates that one entity is a programming language used to create, control, or interact with the other entity.
  • C. hasOnlinePrograms
    Indicates that an entity offers or provides programs, courses, or services that are available online.
  • D. codeType
    Indicates the classification or category assigned to a particular code within a coding or encoding system.
  • E. hasDevelopmentType
    Indicates the type or category of development associated with an entity, such as the nature, form, or stage of its development.
  • F. None of above.

Provenance (3 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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a2512ef600819084d3c627f0d534f4 completed Feb. 28, 2026, 2:21 a.m.
PD Predicate disambiguation batch_69a24eb9a5ac8190b1d1300e8c4e3606 completed Feb. 28, 2026, 2:11 a.m.
Created at: Feb. 28, 2026, 2:07 a.m.