Triple

T10555482
Position Surface form Disambiguated ID Type / Status
Subject Romeo Crennel E249071 entity
Predicate employer P7 FINISHED
Object Cleveland Browns E27629 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: Cleveland Browns | Statement: [Romeo Crennel, employer, Cleveland Browns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cleveland Browns
Context triple: [Romeo Crennel, employer, Cleveland Browns]
  • A. Cleveland Browns chosen
    The Cleveland Browns are a professional American football team based in Cleveland, Ohio, competing in the National Football League.
  • B. Cincinnati Bengals
    The Cincinnati Bengals are a professional American football team based in Cincinnati, Ohio, competing in the National Football League and known for their tiger-striped uniforms and multiple Super Bowl appearances.
  • C. Bengals
    The Bengals are the intercollegiate athletic teams that represent Buffalo State University in NCAA competition.
  • D. Bengals
    The Bengals are the athletic teams representing Idaho State University in intercollegiate sports.
  • E. Bengals
    The Bengals is the nickname for the athletic teams representing Oak Forest High School.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d52712a9988190bf63e7c47f6e6fc1 completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b38b4c081908cc2816144c23152 completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:34 p.m.