Triple

T27747486
Position Surface form Disambiguated ID Type / Status
Subject Thomas V. Daily E702024 entity
Predicate seeAlsoRole P163199 FINISHED
Object Catholic Church leadership in Brooklyn 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 Church leadership in Brooklyn | Statement: [Thomas V. Daily, seeAlsoRole, Catholic Church leadership in Brooklyn]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seeAlsoRole
Context triple: [Thomas V. Daily, seeAlsoRole, Catholic Church leadership in Brooklyn]
  • A. refersToRole
    Indicates that one entity designates, mentions, or points to another entity specifically in its capacity as a role or position.
  • B. associatedWithSee
    Indicates a relationship where one entity is contextually or functionally linked to another through the act or concept of seeing or visual observation.
  • C. possibleRole
    Indicates that an entity is capable of or eligible to serve in a particular role or function in a given context.
  • D. representedRole
    Indicates that one entity serves as a stand-in, proxy, or representative performing a role on behalf of another entity.
  • E. alsoServesAs
    Indicates that one entity has an additional role, function, or identity that it fulfills simultaneously with its primary one.
  • 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_69ef6a53c7388190899baa6daf42301c completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f6371b9fbc819097044eacdcd7c324 completed May 2, 2026, 5:40 p.m.
PD Predicate disambiguation batch_69f63188e7408190af8ce8b93d128c63 completed May 2, 2026, 5:16 p.m.
PDg Predicate description generation batch_69f6352df6148190bc10772cd40bd7b3 completed May 2, 2026, 5:32 p.m.
Created at: April 27, 2026, 4:17 p.m.