Triple

T7496332
Position Surface form Disambiguated ID Type / Status
Subject Ozzie Newsome E177138 entity
Predicate fullName P16 FINISHED
Object Ozzie Newsome Jr. E177138 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: Ozzie Newsome Jr. | Statement: [Ozzie Newsome, fullName, Ozzie Newsome Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ozzie Newsome Jr.
Context triple: [Ozzie Newsome, fullName, Ozzie Newsome Jr.]
  • A. Ozzie Newsome chosen
    Ozzie Newsome is a Hall of Fame tight end and pioneering NFL executive renowned for his standout playing career with the Cleveland Browns and later success as a general manager.
  • B. Champ Bailey
    Champ Bailey is a Pro Football Hall of Fame cornerback widely regarded as one of the greatest defensive backs in NFL history.
  • C. Mike Hilton
    Mike Hilton is an American technology entrepreneur best known as a co-founder of the travel and expense management software company Concur Technologies.
  • D. Nnamdi Asomugha
    Nnamdi Asomugha is a former NFL cornerback, best known for his standout years with the Oakland Raiders and later work as a film producer and actor.
  • E. Bruce Smith
    Bruce Smith is a Hall of Fame former NFL defensive end widely regarded as one of the greatest pass rushers in league history and the all-time leader in career sacks.
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f57c86948190aa8ee765bd497850 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c8686cc8190bb1f7b09cdbebcf7 completed March 28, 2026, 8:39 p.m.
Created at: March 27, 2026, 3:43 p.m.