Triple

T19091392
Position Surface form Disambiguated ID Type / Status
Subject Cougar E467292 entity
Predicate appearsAlongside P25756 FINISHED
Object Roque 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: Roque | Statement: [Cougar, appearsAlongside, Roque]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roque
Context triple: [Cougar, appearsAlongside, Roque]
  • A. Roque
    Roque is a French surname notably borne by Jacqueline Roque, the second wife of Pablo Picasso.
  • B. Roque chosen
    Roque is a key member of the black-ops team in the action film "The Losers," known for his tough, pragmatic nature and complex loyalties.
  • C. Balbuena
    Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
  • D. Vásquez
    Vásquez is a Spanish-language surname common in Latin America and Spain, borne by numerous notable figures in sports, politics, and the arts.
  • E. Montalbán
    Montalbán is a Spanish surname most famously associated with Mexican actor Ricardo Montalbán, known for his work in film and television.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e34b6b348190bb868356ed8b655a completed April 20, 2026, 8:26 a.m.
Created at: April 10, 2026, 12:04 p.m.