Triple

T32329116
Position Surface form Disambiguated ID Type / Status
Subject Paquita E825998 entity
Predicate hasDivertissement P51190 FINISHED
Object Grand Pas Classique
Grand Pas Classique is a celebrated showpiece of classical ballet virtuosity, often performed in gala programs for its demanding technique and elegant style.
 E802258 NE FINISHED

How this triple was built (3 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: Grand Pas Classique | Statement: [Paquita, hasDivertissement, Grand Pas Classique]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Grand Pas Classique
Triple: [Paquita, hasDivertissement, Grand Pas Classique]
Generated description
Grand Pas Classique is a celebrated showpiece of classical ballet virtuosity, often performed in gala programs for its demanding technique and elegant style.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasDivertissement
Context triple: [Paquita, hasDivertissement, Grand Pas Classique]
  • A. entertainsDuring
    Indicates that one entity provides entertainment or amusement to another entity specifically during a given time period or event.
  • B. hasEntertainmentOptions chosen
    Indicates that an entity provides or includes one or more forms of entertainment or leisure activities as options.
  • C. hasComedyElements
    Indicates that something contains humorous or comedic aspects as part of its overall content or style.
  • D. hasQueueEntertainment
    Indicates that an entity provides or features entertainment specifically for people waiting in a queue.
  • E. isEntertainmentDistrict
    Indicates that a location functions primarily as an area dedicated to entertainment activities, venues, and nightlife.
  • F. None of above.

Provenance (6 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_69f34912d0c48190bba75770660320e9 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fe78e545888190a239af1a84280fa0 completed May 8, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3057242d6081909be790ac6516706e completed June 15, 2026, 7:48 p.m.
NEDg Description generation batch_6a31b300d77481909c984dc72bd43896 completed June 16, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_6a31b35858908190a7ebbe3bea7d8ce3 completed June 16, 2026, 8:34 p.m.
PD Predicate disambiguation batch_69fe7842742081908043eb950ed69f92 completed May 8, 2026, 11:56 p.m.
Created at: May 1, 2026, 12:47 a.m.