Triple

T5298717
Position Surface form Disambiguated ID Type / Status
Subject Norm the Niner E119920 entity
Predicate nicknameOfTeams P5076 FINISHED
Object 49ers E510194 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: 49ers | Statement: [Norm the Niner, nicknameOfTeams, 49ers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 49ers
Context triple: [Norm the Niner, nicknameOfTeams, 49ers]
  • A. 49ers chosen
    The 49ers are the athletic teams representing the University of North Carolina at Charlotte in collegiate sports.
  • B. San Francisco 49ers
    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.
  • C. forty-niners
    The forty-niners were the prospectors and fortune-seekers who rushed to California in 1849, sparking rapid population growth and economic change in the region.
  • D. Seattle Seahawks
    The Seattle Seahawks are a professional American football team based in Seattle, Washington, competing in the NFL and known for their passionate fan base and "12th Man" home-field advantage.
  • 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 (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_69bd446f22b88190b6a47fb91c68a3e7 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8506a90c8190bf311f280a061d1a completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf1880bec88190a5b1ca453c783444 completed March 21, 2026, 10:15 p.m.
Created at: March 20, 2026, 1:53 p.m.