Triple

T18562127
Position Surface form Disambiguated ID Type / Status
Subject Michael Keith E453668 entity
Predicate notableWork P4 FINISHED
Object Cupid NE NERFINISHED

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: [Michael Keith, notableWork, Cupid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cupid
Context triple: [Michael Keith, notableWork, Cupid]
  • A. Cupid
    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. Cupid
    "Cupid" is a popular K-pop song by the girl group FIFTY FIFTY, widely known for its catchy melody and viral success on social media platforms.
  • E. Cupids
    Cupids is a small historic town in Newfoundland and Labrador, Canada, recognized as one of the earliest English settlements in North America.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53afb4f088190adf0b2b64057a210 completed April 19, 2026, 8:28 p.m.
Created at: April 10, 2026, 11:42 a.m.