Triple

T18078120
Position Surface form Disambiguated ID Type / Status
Subject Edgar Ross E432610 entity
Predicate enemy P4567 FINISHED
Object Javier Escuella 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: Javier Escuella | Statement: [Edgar Ross, enemy, Javier Escuella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Javier Escuella
Context triple: [Edgar Ross, enemy, Javier Escuella]
  • A. Javier Escuella chosen
    Javier Escuella is a Mexican outlaw and gunslinger in the Red Dead Redemption series, known as a loyal but volatile member of Dutch van der Linde’s gang.
  • B. Javier Casalla
    Javier Casalla is an Argentine violinist and composer best known as a core member of the neo-tango collective Bajofondo.
  • C. Xavier Loyá
    Xavier Loyá was a Mexican actor best known for his role in Luis Buñuel’s acclaimed surrealist film "The Exterminating Angel."
  • D. Javier Weyler
    Javier Weyler is an Argentine-born drummer and music producer best known for his work with the Welsh rock band Stereophonics in the 2000s.
  • E. Javier Molinero
    Javier Molinero is a Spanish professional tennis player who has competed primarily on the ATP Challenger and ITF Futures circuits.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9f6a85481909894c39c8be98d5d completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:26 a.m.