Triple

T32659081
Position Surface form Disambiguated ID Type / Status
Subject John Varvatos E834941 entity
Predicate hasPhotographedCampaignsAt P180174 FINISHED
Object CBGB (former music club in New York City) 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: CBGB (former music club in New York City) | Statement: [John Varvatos, hasPhotographedCampaignsAt, CBGB (former music club in New York City)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPhotographedCampaignsAt
Context triple: [John Varvatos, hasPhotographedCampaignsAt, CBGB (former music club in New York City)]
  • A. hasPhotographedFor
    Indicates that one entity has taken photographs on behalf of, or as a service for, another entity.
  • B. hasPhotographAt
    Indicates that a photograph depicting an entity was taken or exists at a specific location or event.
  • C. hasPhotographicActivity
    Indicates that one entity engages in or is involved with photographic activity in relation to another entity or context.
  • D. hasPhotographBy
    Indicates that an entity is depicted in or associated with a photograph that was created or taken by a specified photographer.
  • E. hasPhotographs
    Indicates that one entity possesses, contains, or is associated with one or more photographs of another entity or subject.
  • 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_69f3492f72248190ba42fa596aea50e1 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f73223675481908c1bc3208c0f5284 completed May 3, 2026, 11:31 a.m.
PD Predicate disambiguation batch_69f7317690108190b3aae2cd2e1d069e completed May 3, 2026, 11:28 a.m.
PDg Predicate description generation batch_69f73221eef88190bd8905e6e9f5a586 completed May 3, 2026, 11:31 a.m.
Created at: May 1, 2026, 1:08 a.m.