Triple

T29399621
Position Surface form Disambiguated ID Type / Status
Subject People's Choice Award for Favorite Model (2015) E745598 entity
Predicate hasRecipientOccupation P39104 FINISHED
Object fashion model 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: fashion model | Statement: [People's Choice Award for Favorite Model (2015), hasRecipientOccupation, fashion model]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRecipientOccupation
Context triple: [People's Choice Award for Favorite Model (2015), hasRecipientOccupation, fashion model]
  • A. recipientOccupation chosen
    Indicates that the object specifies the job, profession, or role held by the recipient in the described relationship or event.
  • B. hasRecipientWork
    Indicates that a work (such as a document, message, or creative piece) is directed or assigned to a specific recipient entity.
  • C. hasRecipientRole
    Indicates that a specified entity serves as the recipient or target role in a given interaction, transaction, or relationship.
  • D. holderIsOccupation
    Indicates that the holder entity has the specified occupation or job role.
  • E. recognizedOccupationOf
    Indicates that one entity is acknowledged or officially accepted as the occupation or professional role held by 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_69f0a79dfabc81908755382ee47791e2 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69ffed8912488190baa05f572e5b1b89 completed May 10, 2026, 2:29 a.m.
PD Predicate disambiguation batch_69ffed12a76c8190ad85c6ac869c72e9 completed May 10, 2026, 2:27 a.m.
Created at: April 28, 2026, 2:49 p.m.