Triple

T15191480
Position Surface form Disambiguated ID Type / Status
Subject Al Cisneros E363019 entity
Predicate religiousInfluenceInWork P29112 FINISHED
Object Middle Eastern spirituality 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: Middle Eastern spirituality | Statement: [Al Cisneros, religiousInfluenceInWork, Middle Eastern spirituality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousInfluenceInWork
Context triple: [Al Cisneros, religiousInfluenceInWork, Middle Eastern spirituality]
  • A. influencedByReligion chosen
    Indicates that an entity’s characteristics, decisions, or development are shaped or affected by religious beliefs, practices, or institutions.
  • B. religionRelatedWork
    Indicates that a work (such as a text, artwork, or project) is related to, concerned with, or produced in the context of a particular religion or religious tradition.
  • C. influencedReligion
    Indicates that one entity has had a shaping or modifying effect on the religious beliefs, practices, or traditions of another entity.
  • D. religiousElement
    Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
  • E. religiousCulturalContext
    Indicates the religious or cultural setting, tradition, or framework within which an entity, practice, or event occurs or is interpreted.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067d55ac8190b7a7fce36e6ddf3c completed April 15, 2026, 9:43 p.m.
PD Predicate disambiguation batch_69deb97bd8bc8190b2ad4888f97cf963 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:10 a.m.