Triple

T8943060
Position Surface form Disambiguated ID Type / Status
Subject Thomas Peters E212949 entity
Predicate hasChild P369 FINISHED
Object John Peters E630184 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: John Peters | Statement: [Thomas Peters, hasChild, John Peters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Peters
Context triple: [Thomas Peters, hasChild, John Peters]
  • A. John Peters chosen
    John Peters was the husband of 18th-century African American poet Phillis Wheatley, with whom he shared a life amid the social and economic challenges faced by free Black people in colonial and early post-Revolutionary America.
  • B. Jean Peters
    Jean Peters was an American film actress best known for her leading roles in 1940s and 1950s Hollywood adventure and drama films.
  • C. James Nourse
    James Nourse was an 18th-century British sea captain involved in the transatlantic slave trade.
  • D. Bill Dellinger
    Bill Dellinger is a former American middle-distance runner and longtime University of Oregon coach renowned for mentoring legendary athletes such as Steve Prefontaine.
  • E. Jim V. Hart
    Jim V. Hart is an American screenwriter and author best known for his work on major fantasy and adventure films such as "Hook," "Bram Stoker's Dracula," and "Contact."
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66d93978819084b1a5c7c5dd2372 completed April 1, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc93a1e4c8190b33478783dcd09d7 completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:58 p.m.