Triple

T28386954
Position Surface form Disambiguated ID Type / Status
Subject Joan Myers Brown as artistic director (historical) E719043 entity
Predicate organizationLocationState P115061 FINISHED
Object Pennsylvania 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: Pennsylvania | Statement: [Joan Myers Brown as artistic director (historical), organizationLocationState, Pennsylvania]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: organizationLocationState
Context triple: [Joan Myers Brown as artistic director (historical), organizationLocationState, Pennsylvania]
  • A. stateOrTerritory
    Indicates that one entity is a state or territory that is politically or administratively associated with another entity.
  • B. stateOfIncorporation
    Indicates the legal jurisdiction (state or equivalent) under whose laws an organization or company is formally incorporated.
  • C. stateOrRegion chosen
    Indicates that one entity is a state or region in which the other entity is located or with which it is associated.
  • D. stateName
    Indicates that an entity is identified by or associated with a particular state’s name.
  • E. organizationRepresentedState
    Indicates that an organization formally acts on behalf of, or serves as the official representative of, a particular state.
  • 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_69eff6ef211081909d31d9be5f5567e6 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f6bbf6e33c819086e5176d64e7a614 completed May 3, 2026, 3:07 a.m.
PD Predicate disambiguation batch_69f6ba6b1e6c8190adf9d6a257e0b744 completed May 3, 2026, 3 a.m.
Created at: April 28, 2026, 1:10 a.m.