Triple

T20607163
Position Surface form Disambiguated ID Type / Status
Subject Gino Torretta E506338 entity
Predicate playedForNFLTeam P79381 FINISHED
Object San Francisco 49ers 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: San Francisco 49ers | Statement: [Gino Torretta, playedForNFLTeam, San Francisco 49ers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Francisco 49ers
Context triple: [Gino Torretta, playedForNFLTeam, San Francisco 49ers]
  • A. San Francisco 49ers chosen
    The San Francisco 49ers are a professional American football team based in the San Francisco Bay Area, known for their rich history and multiple Super Bowl championships.
  • B. 49ers
    The 49ers was the former nickname of the Long Beach State men's volleyball program, historically associated with the university’s athletic identity before rebranding.
  • C. 49ers
    The 49ers are the athletic teams representing the University of North Carolina at Charlotte in collegiate sports.
  • D. Santa Clara Broncos
    The Santa Clara Broncos are the athletic teams representing Santa Clara University in NCAA Division I sports.
  • E. Los Angeles Rams
    The Los Angeles Rams are a professional American football team in the NFL known for their multiple Super Bowl appearances and championships.
  • 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aad394e8819080185187a8b3de93 completed April 20, 2026, 10:38 p.m.
Created at: April 16, 2026, 11:41 a.m.