Triple

T24655027
Position Surface form Disambiguated ID Type / Status
Subject Gilliam van Cleve E610362 entity
Predicate religiousArtTradition P24121 FINISHED
Object Catholic art 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: Catholic art | Statement: [Gilliam van Cleve, religiousArtTradition, Catholic art]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousArtTradition
Context triple: [Gilliam van Cleve, religiousArtTradition, Catholic art]
  • A. religiousTraditions chosen
    Indicates a relationship where certain religious customs, practices, or belief systems are associated with or observed by an entity.
  • B. religionAccordingToTradition
    Indicates that an entity’s religion is identified or classified according to a particular tradition or customary understanding, rather than strictly formal or official criteria.
  • C. religiousTextTradition
    Indicates that a religious text is associated with, originates from, or is authoritative within a particular religious tradition or denomination.
  • D. cultOrTradition
    Indicates that one entity is a cult or tradition associated with, practiced by, or characterizing another entity.
  • E. religiousElement
    Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
  • 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_69e2c4d453248190a020354e93ef6282 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f41011d8048190be70329ba0bfb7c7 completed May 1, 2026, 2:29 a.m.
PD Predicate disambiguation batch_69f40ed9d47881909fcfc0d04e8d074a completed May 1, 2026, 2:24 a.m.
Created at: April 18, 2026, 2:34 a.m.