Triple

T11532658
Position Surface form Disambiguated ID Type / Status
Subject USC Trojans men’s basketball E273460 entity
Predicate fightSong P4835 FINISHED
Object Fight On E550464 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: Fight On | Statement: [USC Trojans men’s basketball, fightSong, Fight On]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fight On
Context triple: [USC Trojans men’s basketball, fightSong, Fight On]
  • A. Fight On chosen
    "Fight On" is the iconic fight song of the University of Southern California, closely associated with the USC Trojans and their athletic traditions.
  • B. Stand and Fight
    "Stand and Fight" is a song by James Taylor from his 1981 studio album "Dad Loves His Work."
  • C. The Fight
    The Fight is Norman Mailer’s acclaimed nonfiction book that chronicles the 1974 “Rumble in the Jungle” heavyweight boxing match between Muhammad Ali and George Foreman.
  • D. Day of the Fight
    Day of the Fight is a 1951 black-and-white short documentary film following boxer Walter Cartier on the day of a crucial bout, notable as Stanley Kubrick’s directorial debut.
  • E. A Fighting Chance
    A Fighting Chance is a memoir by U.S. Senator Elizabeth Warren that chronicles her life, career, and advocacy for economic fairness and consumer protection.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8839a2c7081909c285d1f6beb971c completed April 10, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69e68577f5ec8190a46687119d288a36 completed April 20, 2026, 7:58 p.m.
Created at: April 8, 2026, 9:37 p.m.