Triple

T10199653
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Kimble Simmons E238849 entity
Predicate name P16 FINISHED
Object Jonathan Kimble Simmons E238849 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: Jonathan Kimble Simmons | Statement: [Jonathan Kimble Simmons, name, Jonathan Kimble Simmons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Kimble Simmons
Context triple: [Jonathan Kimble Simmons, name, Jonathan Kimble Simmons]
  • A. Jonathan Kimble Simmons chosen
    Jonathan Kimble Simmons is an American actor known for his versatile character roles in film and television, including his Oscar-winning performance in "Whiplash."
  • B. John Simmons
    John Simmons was a 19th-century American clothing manufacturer and philanthropist whose endowment led to the creation of Simmons University in Boston.
  • C. John Simmons
    John Simmons was an American statesman who represented South Carolina as a delegate to the Continental Congress during the Revolutionary era.
  • D. Jeremy Simmons
    Jeremy Simmons is a film editor known for his work on the cult club-scene drama "Party Monster."
  • E. Lyndon Simmonds
    Lyndon Simmonds is a former professional footballer best known for playing as a forward in the English leagues during the late 20th century.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdee3dfa108190b2888385ef96de23 completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317eca3f88190a47009be6f96977e completed April 6, 2026, 2:18 a.m.
Created at: March 30, 2026, 9:14 p.m.