Triple

T9719703
Position Surface form Disambiguated ID Type / Status
Subject White Swan Pas de deux E235431 entity
Predicate notableRoleFor P22 FINISHED
Object principal ballerina 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: principal ballerina | Statement: [White Swan Pas de deux, notableRoleFor, principal ballerina]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableRoleFor
Context triple: [White Swan Pas de deux, notableRoleFor, principal ballerina]
  • A. notableDepictionBy
    Indicates that an entity is significantly portrayed or represented by a particular creator, work, or medium.
  • B. notableAppearanceIn
    Indicates that an entity is prominently featured or plays a significant role in a particular work, event, or context.
  • C. 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.
  • D. notableFor chosen
    Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
  • E. notableStar
    Indicates that the subject is a star (or stellar object) that is distinguished or noteworthy in some significant way, such as brightness, fame, or scientific interest, relative to other stars.
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e4022c4819097455f14dd9b1a77 completed April 1, 2026, 10:37 p.m.
PD Predicate disambiguation batch_69cd03bfeca08190924fca43aaa9c10f completed April 1, 2026, 11:38 a.m.
Created at: March 30, 2026, 8:20 p.m.