Triple

T2344063
Position Surface form Disambiguated ID Type / Status
Subject Tony Romo E45090 entity
Predicate fullName P16 FINISHED
Object Antonio Ramiro Romo E45090 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: Antonio Ramiro Romo | Statement: [Tony Romo, fullName, Antonio Ramiro Romo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antonio Ramiro Romo
Context triple: [Tony Romo, fullName, Antonio Ramiro Romo]
  • A. Tony Romo chosen
    Tony Romo is a former NFL quarterback best known for his prolific passing career with the Dallas Cowboys and later work as a prominent football broadcaster.
  • B. Shawn Hochuli
    Shawn Hochuli is an American NFL official who followed his father Ed Hochuli into a prominent career as a referee.
  • C. Cam Ward
    Cam Ward is a Canadian former NHL goaltender best known for backstopping the Carolina Hurricanes to the 2006 Stanley Cup and winning the Conn Smythe Trophy as playoff MVP.
  • D. Robert John Riggins
    Robert John Riggins is a former American football running back, best known for his Hall of Fame career with the Washington Redskins and his MVP performance in Super Bowl XVII.
  • E. Tully Marshall
    Tully Marshall was an American character actor of the silent and early sound film era, known for his prolific work in supporting roles across numerous Hollywood productions.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6afe38c81909deb1de2a1c4eda9 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae96253f0c81908b866c656c3f5bea completed March 9, 2026, 9:43 a.m.
Created at: March 4, 2026, 7:52 p.m.