Triple

T32318001
Position Surface form Disambiguated ID Type / Status
Subject KUL E825691 entity
Predicate hasFormerStaff P86710 FINISHED
Object Karol Wojtyła NE NERFINISHED

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: Karol Wojtyła | Statement: [KUL, hasFormerStaff, Karol Wojtyła]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFormerStaff
Context triple: [KUL, hasFormerStaff, Karol Wojtyła]
  • A. hasFormerStaffMember chosen
    Indicates that an entity once had a person as a staff member, but that person is no longer employed there.
  • B. hadStaffRole
    Indicates that an entity served in a specific staff role or position for another entity during some period.
  • C. hasNotableFormerMemberRole
    Indicates that an entity has a role or position that was notably held by a former member of that entity.
  • D. mayHavePriorRole
    Indicates that an entity is allowed or expected to have held a specified role at some earlier time.
  • E. holderIsFormer
    Indicates that the referenced holder previously had, but no longer has, the specified role, position, or status.
  • 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_69f3491213b88190a57094d8697a7455 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fd592e48cc81909d754cc6c4bd99ae completed May 8, 2026, 3:31 a.m.
PD Predicate disambiguation batch_69fd58b7f9b881909dc099b28d567784 completed May 8, 2026, 3:30 a.m.
Created at: May 1, 2026, 12:46 a.m.