Triple

T22231665
Position Surface form Disambiguated ID Type / Status
Subject Dan Fouts E549480 entity
Predicate memberOfSportsTeam P330 FINISHED
Object San Diego Chargers 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 Diego Chargers | Statement: [Dan Fouts, memberOfSportsTeam, San Diego Chargers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Diego Chargers
Context triple: [Dan Fouts, memberOfSportsTeam, San Diego Chargers]
  • A. Los Angeles Chargers chosen
    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.
  • B. The Chargers
    The Chargers is an English rendering of the name of Surah Al-Adiyat, referring to the swift, charging war-horses evoked in this Qur’anic chapter.
  • C. Chargers
    The Chargers are the athletic teams representing the University of Alabama in Huntsville in collegiate sports competitions.
  • D. Chargers
    Chargers is the team name used by the Camosun College athletic program for its varsity sports teams.
  • E. Chargers
    The Chargers are the athletic teams representing Briar Cliff University in collegiate sports competitions.
  • 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bf3de648190986a734f19643a8c completed April 28, 2026, 9:51 p.m.
Created at: April 16, 2026, 8:38 p.m.