Triple

T36647152
Position Surface form Disambiguated ID Type / Status
Subject Hero No.1 E904744 entity
Predicate includesDanceNumbers P141994 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: [Hero No.1, includesDanceNumbers, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesDanceNumbers
Context triple: [Hero No.1, includesDanceNumbers, yes]
  • A. containsDanceNumber chosen
    Indicates that something (such as a work, performance, or production) includes at least one distinct dance sequence or dance number as part of its content.
  • B. featuredInDanceNumbersWith
    Indicates that two entities are prominently included together in one or more dance numbers within a performance or production.
  • C. numberOfDances
    Indicates the quantity or count of dances associated with a given entity or event.
  • D. featuresDanceNumber
    Indicates that the subject includes or presents a dance performance or choreographed dance sequence.
  • E. hasDanceSequences
    Indicates that the subject contains or features one or more dance sequences as part of its content or activity.
  • 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_69f76e6d3a3c81909db73eda9e0516bd completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a037c8e2c648190a65fc9c7872861af completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a0bf4b88190bdcfae9a14b51f0a completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:11 p.m.