Triple

T22917747
Position Surface form Disambiguated ID Type / Status
Subject UFC 46 E568777 entity
Predicate fighterOnCard P109204 FINISHED
Object Frank Mir 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: Frank Mir | Statement: [UFC 46, fighterOnCard, Frank Mir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Mir
Context triple: [UFC 46, fighterOnCard, Frank Mir]
  • A. Frank Mir chosen
    Frank Mir is an American mixed martial artist and former UFC Heavyweight Champion known for his elite submission skills and long tenure in the UFC heavyweight division.
  • B. Darius Rose
    Darius Rose is an actor best known for appearing in the comedy film "Nacho Libre."
  • C. Nate Robinson
    Nate Robinson is a former NBA point guard best known for his explosive athleticism and for becoming a multiple-time champion of the league’s Slam Dunk Contest despite his relatively short stature.
  • D. Dave Odom
    Dave Odom is an American college basketball coach best known for his successful tenures at Wake Forest and South Carolina, where he developed multiple star players and earned national recognition.
  • E. Jermaine O’Neal
    Jermaine O’Neal is a former American NBA All-Star power forward/center best known for his standout years with the Indiana Pacers in the early 2000s.
  • 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_69e2458d90c88190a58cead4e781ca6a completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1807b254c8190bb84596dcacaa35e completed April 29, 2026, 3:52 a.m.
Created at: April 17, 2026, 3:42 p.m.