Triple

T10657635
Position Surface form Disambiguated ID Type / Status
Subject Salvador Sánchez E251133 entity
Predicate defendedTitleAgainst P45414 FINISHED
Object Danny Lopez E879480 NE FINISHED

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: Danny Lopez | Statement: [Salvador Sánchez, defendedTitleAgainst, Danny Lopez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danny Lopez
Context triple: [Salvador Sánchez, defendedTitleAgainst, Danny Lopez]
  • A. Danny Lopez chosen
    Danny Lopez is a former American professional boxer and world featherweight champion known for his formidable punching power and exciting, aggressive style in the ring.
  • B. Roman Peña
    Roman Peña is the son of American actor Michael Peña.
  • C. Oscar D’León
    Oscar D’León is a renowned Venezuelan salsa singer and bassist, celebrated as one of the genre’s most iconic and influential performers.
  • D. Vini Lopez
    Vini Lopez is an American drummer best known as an original member of Bruce Springsteen's E Street Band, contributing to the group's early recordings and live performances.
  • E. Cam Calderon
    Cam Calderon is a fictional hustling entrepreneur and streetwise best friend character from the HBO comedy-drama series "How to Make It in America."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6e0157dbc81909ef7d61f65b2fd93 completed April 8, 2026, 11:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d998af75588190bb9bb749460c5766 completed April 11, 2026, 12:41 a.m.
Created at: April 8, 2026, 9:07 p.m.