Triple

T15822506
Position Surface form Disambiguated ID Type / Status
Subject Like a Boy E383645 entity
Predicate featuresChoreography P29261 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: [Like a Boy, featuresChoreography, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresChoreography
Context triple: [Like a Boy, featuresChoreography, yes]
  • A. danceFeature
    Indicates that one entity serves as a notable characteristic, element, or attribute of a dance or dancing-related activity.
  • B. choreographedTo
    Indicates that one action, movement, or sequence has been deliberately designed or arranged to align in timing, pattern, or structure with another.
  • C. choreographyStyle
    Indicates the specific style or form of choreography associated with a performance, routine, or choreographic work.
  • D. featuresDanceNumber
    Indicates that the subject includes or presents a dance performance or choreographed dance sequence.
  • E. hasDanceChoreography chosen
    Indicates that an entity is associated with or characterized by a specific dance choreography.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a887d881908f74a1fcba390727 completed April 16, 2026, 11:14 a.m.
PD Predicate disambiguation batch_69e005418f588190824d91ff7974dada completed April 15, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:49 a.m.