Triple

T21987843
Position Surface form Disambiguated ID Type / Status
Subject Angelo Dundee E543009 entity
Predicate trained P3665 FINISHED
Object Luis Rodríguez 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: Luis Rodríguez | Statement: [Angelo Dundee, trained, Luis Rodríguez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luis Rodríguez
Context triple: [Angelo Dundee, trained, Luis Rodríguez]
  • A. Luis Rodríguez chosen
    Luis Rodríguez was a Cuban professional boxer and former world welterweight champion known for his technical skill and bouts against many top fighters of the 1960s.
  • B. Luis Rodríguez
    Luis Rodríguez is an Argentine professional footballer, widely known as a prolific forward in the domestic leagues.
  • C. Luis Rodriguez
    Luis Rodriguez is a professional baseball figure best known for managing the independent league team Bridgeport Bluefish.
  • D. Jorge Reyes
    Jorge Reyes is an American baseball pitcher best known for his standout collegiate career at Oregon State University, where he helped lead the Beavers to a national championship.
  • E. Jorge Campuzano
    Jorge Campuzano was a Mexican architect best known for co-designing Mexico City’s iconic National Museum of Anthropology, a landmark of modernist museum architecture.
  • 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1270ad0d48190bd822289ce18195c completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:04 p.m.