Triple

T37711740
Position Surface form Disambiguated ID Type / Status
Subject The Cowboy and the Senorita E939357 entity
Predicate hasLeadCouple P152718 FINISHED
Object Roy Rogers and Dale Evans 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: Roy Rogers and Dale Evans | Statement: [The Cowboy and the Senorita, hasLeadCouple, Roy Rogers and Dale Evans]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLeadCouple
Context triple: [The Cowboy and the Senorita, hasLeadCouple, Roy Rogers and Dale Evans]
  • A. hasMainCouple chosen
    Indicates that a work or narrative features a primary romantic couple who are the central focus of its relationship storyline.
  • B. leadPair
    Indicates that one entity serves as the primary or leading counterpart in a pair relationship with another entity.
  • C. hasNotablePerformerDuo
    Indicates that the subject has a notable performing duo associated with it, such as a well-known pair of artists or entertainers who perform together.
  • D. isRomanticLeadOf
    Indicates that one entity serves as the primary romantic partner or love-interest counterpart to another entity within a narrative or story.
  • E. hasExPartner
    Indicates that one entity was formerly in a romantic or intimate partnership with another entity, but that relationship has ended.
  • 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_69f76edb49dc8190b951dce9ce6ef789 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fe991bca608190b524e419642f4243 completed May 9, 2026, 2:16 a.m.
PD Predicate disambiguation batch_69fe979fc1c4819091fc48d63ea12063 completed May 9, 2026, 2:10 a.m.
Created at: May 3, 2026, 4:18 p.m.