Triple

T11743336
Position Surface form Disambiguated ID Type / Status
Subject The Temple of Glas E279207 entity
Predicate hasCharacter P2308 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: [The Temple of Glas, hasCharacter, Cupid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cupid
Context triple: [The Temple of Glas, hasCharacter, Cupid]
  • A. 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.
  • B. Cupid
    Cupid is an American Thoroughbred racehorse known for his graded stakes victories and subsequent career as a breeding stallion.
  • C. Cupid
    Cupid is one of Santa Claus’s traditional flying reindeer, typically depicted pulling his sleigh on Christmas Eve.
  • D. Cupids
    Cupids is a small historic town in Newfoundland and Labrador, Canada, recognized as one of the earliest English settlements in North America.
  • E. 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.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f191388190bd6ef7e80c41ca48 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019e4f0988190afe0b92f4c9d8073 completed April 28, 2026, 2:22 a.m.
Created at: April 8, 2026, 9:41 p.m.