Triple

T20428314
Position Surface form Disambiguated ID Type / Status
Subject Apparition Test Centre E501061 entity
Predicate notableStaffRole P66032 FINISHED
Object Apparition instructor and examiner 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: Apparition instructor and examiner | Statement: [Apparition Test Centre, notableStaffRole, Apparition instructor and examiner]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableStaffRole
Context triple: [Apparition Test Centre, notableStaffRole, Apparition instructor and examiner]
  • A. notableWorkRole
    Indicates that a person’s role or position is specifically associated with the creation, performance, or contribution to a notable work.
  • B. notableAuthorRole
    Indicates that an entity holds a significant or distinguished role as an author in relation to another entity.
  • C. notableHolderRole
    Indicates that an entity is recognized for holding a particular role, office, or position in a notable or distinguished capacity.
  • D. notableVenueRole chosen
    Indicates that an entity holds or has held a significant functional role or position at a particular venue or location.
  • E. notableCastMember
    Indicates that an entity is a member of the cast of another entity (such as a film, show, or production) and is considered particularly notable or significant in that role.
  • 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_69e0b4aa68fc8190b1a14c55575ef04a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67baa91b881909dfd68ccca25063c completed April 20, 2026, 7:16 p.m.
PD Predicate disambiguation batch_69e5766df0008190a73c4f613c29678f completed April 20, 2026, 12:42 a.m.
Created at: April 16, 2026, 11:31 a.m.