Triple

T18634645
Position Surface form Disambiguated ID Type / Status
Subject Shall We Dance? (2004 film) E455511 entity
Predicate secretActivityOfProtagonist P101399 FINISHED
Object taking ballroom dance lessons 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: taking ballroom dance lessons | Statement: [Shall We Dance? (2004 film), secretActivityOfProtagonist, taking ballroom dance lessons]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secretActivityOfProtagonist
Context triple: [Shall We Dance? (2004 film), secretActivityOfProtagonist, taking ballroom dance lessons]
  • A. protagonistSecret
    Indicates that one entity is the main character who possesses or is associated with a hidden fact, identity, or piece of information unknown to others.
  • B. secretObjective
    Indicates that an entity has a hidden or undisclosed goal or target that is not known to others.
  • C. revealedSecretOf
    Indicates that one entity has disclosed or exposed confidential or previously unknown information belonging to another entity.
  • D. secretRevealed
    Indicates that previously hidden or confidential information has been disclosed to one or more parties.
  • E. protagonistAction chosen
    Indicates that the referenced entity performs the central or primary action associated with the main character in a narrative or scenario.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fc80b308190932303231524d372 completed April 19, 2026, 9:57 p.m.
PD Predicate disambiguation batch_69e478d4a7948190a4bb9223bb5dddfc completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 11:46 a.m.