Triple

T16317941
Position Surface form Disambiguated ID Type / Status
Subject Ken Rosenthal E396219 entity
Predicate name P16 FINISHED
Object Ken Rosenthal E396219 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: Ken Rosenthal | Statement: [Ken Rosenthal, name, Ken Rosenthal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken Rosenthal
Context triple: [Ken Rosenthal, name, Ken Rosenthal]
  • A. Ken Rosenthal chosen
    Ken Rosenthal is an American sports journalist and television reporter best known for his in-depth Major League Baseball coverage and insider reporting.
  • B. Ken Rosenthal
    Ken Rosenthal is an American entrepreneur best known as the founder of the fast-casual bakery-café chain Panera Bread.
  • C. Joe Nocera
    Joe Nocera is an American business and finance journalist and columnist known for his work at outlets like The New York Times and Bloomberg Opinion.
  • D. Johnny Rosenblatt
    Johnny Rosenblatt was a longtime Omaha, Nebraska mayor and civic leader best known for his role in bringing and supporting professional and collegiate baseball to the city.
  • E. Steve Delsohn
    Steve Delsohn is an American sports journalist and author known for co-writing high-profile investigative and biographical books on major sports figures and issues.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b31b988190bb1fde36dae11bbd completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002606f0e0819081f50dae9e6b7a0d completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:06 a.m.