Triple

T27152993
Position Surface form Disambiguated ID Type / Status
Subject This Time for Keeps E682440 entity
Predicate hasAquaticBallet P161917 FINISHED
Object yes 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: yes | Statement: [This Time for Keeps, hasAquaticBallet, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAquaticBallet
Context triple: [This Time for Keeps, hasAquaticBallet, yes]
  • A. isAquatic
    Indicates that an entity primarily lives in or is adapted to water environments.
  • B. hasAquaticCentre
    Indicates that one entity possesses, contains, or is associated with an aquatic centre facility.
  • C. hasBalletMaster
    Indicates that an entity is associated with or overseen by a specific ballet master responsible for its ballet-related training, direction, or instruction.
  • D. balletType
    Indicates that one entity is classified as a specific type or category of ballet in relation to another entity.
  • E. aquaticsDiscipline
    Indicates that one entity is an aquatic sports discipline or category associated with another entity.
  • 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_69eefaceb2a08190b9659b7f730629f5 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f62503d1c48190a6d75aa1e0775e33 completed May 2, 2026, 4:23 p.m.
PD Predicate disambiguation batch_69f61b40f02081909bd9c3ea73249163 completed May 2, 2026, 3:41 p.m.
PDg Predicate description generation batch_69f61fa35ac48190890102c348ed81a0 completed May 2, 2026, 4 p.m.
Created at: April 27, 2026, 9:15 a.m.