Triple

T4905232
Position Surface form Disambiguated ID Type / Status
Subject Ha-Ari E109897 entity
Predicate religiousRoleOfReferent P51786 FINISHED
Object rabbi 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: rabbi | Statement: [Ha-Ari, religiousRoleOfReferent, rabbi]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousRoleOfReferent
Context triple: [Ha-Ari, religiousRoleOfReferent, rabbi]
  • A. religiousTextRole
    Indicates the specific role or function that a religious text has in relation to a person, group, practice, or tradition.
  • B. associatedReligionRole chosen
    Indicates that one entity holds a specific religious role, office, or function in relation to another entity.
  • C. ecclesiasticalRole
    Indicates that one entity holds or is assigned a specific religious or church-related office, function, or position in relation to another entity.
  • D. eraOfReligiousFunction
    Indicates the historical time period during which a religious role, office, or function was actively performed or held.
  • E. religiousFigure
    Indicates that one entity is recognized or designated as a religious leader, authority, or sacred person in relation to another entity.
  • 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_69bd441180708190ba42ffb44fea533a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd706245e48190a61d573438461c30 completed March 20, 2026, 4:05 p.m.
PD Predicate disambiguation batch_69bd6c306b188190a08a7856beb76db4 completed March 20, 2026, 3:48 p.m.
Created at: March 20, 2026, 1:29 p.m.