Triple

T18218661
Position Surface form Disambiguated ID Type / Status
Subject The Wind E436235 entity
Predicate producer P490 FINISHED
Object Jorge Calderón 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: Jorge Calderón | Statement: [The Wind, producer, Jorge Calderón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jorge Calderón
Context triple: [The Wind, producer, Jorge Calderón]
  • A. Jorge Calderón chosen
    Jorge Calderón is a songwriter and musician best known for his longtime collaboration with Warren Zevon, co-writing several of Zevon’s notable songs.
  • B. Reynaldo Pacheco
    Reynaldo Pacheco is a Bolivian-born actor known for his roles in films such as the political comedy-drama "Our Brand Is Crisis" (2015).
  • C. Jorge Robledo
    Jorge Robledo was a 16th-century Spanish conquistador known for exploring and founding several settlements in what is now Colombia.
  • D. Reynaldo Villalobos
    Reynaldo Villalobos is a cinematographer best known for his work on notable American films such as the comedy classic "9 to 5."
  • E. Luis Salmerón
    Luis Salmerón is a former Argentine professional footballer known for his role as a forward with several clubs in South America.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e47926988190802c00b074cdc696 completed April 19, 2026, 2:19 p.m.
Created at: April 10, 2026, 10:32 a.m.