Triple

T4629431
Position Surface form Disambiguated ID Type / Status
Subject Joe Namath E101175 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Los Angeles Rams E22109 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: Los Angeles Rams | Statement: [Joe Namath, memberOfSportsTeam, Los Angeles Rams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Los Angeles Rams
Context triple: [Joe Namath, memberOfSportsTeam, Los Angeles Rams]
  • A. Los Angeles Rams chosen
    The Los Angeles Rams are a professional American football team in the NFL known for their multiple Super Bowl appearances and championships.
  • B. Rams
    The Rams are the athletic teams representing Shepherd University in intercollegiate sports.
  • C. Los Angeles Chargers
    The Los Angeles Chargers are a professional American football team in the NFL known for their high-powered offenses and history in both the AFL and NFL.
  • D. The Rams
    The Rams is the nickname of Derby County Football Club, a professional English football team based in Derby that has a long history in the English league system.
  • E. 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.
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a300e6081909fa9f504aada33ea completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03652dc081908abc3e036f853edf completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:13 p.m.