Triple

T9493058
Position Surface form Disambiguated ID Type / Status
Subject Don Quixote (Petipa/Gorsky version) E228936 entity
Predicate principalCharacter P9202 FINISHED
Object Cupid E68848 NE 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: Cupid | Statement: [Don Quixote (Petipa/Gorsky version), principalCharacter, Cupid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cupid
Context triple: [Don Quixote (Petipa/Gorsky version), principalCharacter, Cupid]
  • A. Cupid
    Cupid is one of Santa Claus’s traditional flying reindeer, typically depicted pulling his sleigh on Christmas Eve.
  • B. Cupid chosen
    Cupid is the Roman god of love and desire, traditionally depicted as a winged boy whose arrows cause people to fall in love.
  • C. Cupids
    Cupids is a small historic town in Newfoundland and Labrador, Canada, recognized as one of the earliest English settlements in North America.
  • D. Venus and Cupid
    "Venus and Cupid" is a Renaissance painting by Lucas Cranach the Elder depicting the Roman goddess of love with her son Cupid in a sensual, allegorical composition characteristic of the artist’s courtly style.
  • E. Eros
    Eros is a loyal attendant to Mark Antony in Shakespeare’s tragedy "Antony and Cleopatra," known for his devotion and tragic death.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd95e8c8908190950e1130f9612823 completed April 1, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d2e2a64819097d87b3cf304f036 completed April 4, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:56 p.m.