Triple

T3109403
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Eastern Michigan E64912 entity
Predicate clergyCanBe P17130 FINISHED
Object male 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: male | Statement: [Diocese of Eastern Michigan, clergyCanBe, male]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: clergyCanBe
Context triple: [Diocese of Eastern Michigan, clergyCanBe, male]
  • A. clergyCan chosen
    Indicates that members of the clergy are permitted or authorized to perform a specified action or exercise a particular role or function.
  • B. hasClergy
    Indicates that an organization or institution possesses or is served by members of the clergy.
  • C. clergyView
    Indicates that a member of the clergy holds a particular opinion, perspective, or evaluative stance toward something.
  • D. hasClergyType
    Indicates the specific category or role of clergy associated with an entity.
  • E. clergyPractice
    Indicates that a member of the clergy engages in, performs, or follows a particular religious practice or ritual.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada2a0ab2481908db50738ec3ad0fb completed March 8, 2026, 4:24 p.m.
PD Predicate disambiguation batch_69ad9df25d4c81908ff0f6cff55d0563 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:04 p.m.