Triple

T6847448
Position Surface form Disambiguated ID Type / Status
Subject Dan Plesac E157932 entity
Predicate fullName P16 FINISHED
Object Daniel Thomas Plesac E157932 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: Daniel Thomas Plesac | Statement: [Dan Plesac, fullName, Daniel Thomas Plesac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Thomas Plesac
Context triple: [Dan Plesac, fullName, Daniel Thomas Plesac]
  • A. Dan Plesac chosen
    Dan Plesac is a former Major League Baseball relief pitcher who became a television baseball analyst.
  • B. John Michael Paveskovich
    John Michael Paveskovich, better known as Johnny Pesky, was an American Major League Baseball shortstop, coach, and manager most closely associated with the Boston Red Sox.
  • C. Jonathan Teplitzky
    Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
  • D. Lucas Wolenczak
    Lucas Wolenczak is a gifted teenage computer prodigy and central character from the science fiction TV series "seaQuest DSV," known for his close bond with Captain Nathan Bridger aboard the high-tech submarine seaQuest.
  • E. Adam Pisoni
    Adam Pisoni is an American entrepreneur and technology executive best known as the co-founder and former CTO of the enterprise social networking company Yammer.
  • 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d7cd0e64819097c9c211df8bce54 completed March 27, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fc931d881908661483836cc059e completed March 28, 2026, 1:32 a.m.
Created at: March 27, 2026, 2:20 p.m.