Triple

T10230458
Position Surface form Disambiguated ID Type / Status
Subject Robert Stone E243325 entity
Predicate name P16 FINISHED
Object Robert Stone E243325 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: Robert Stone | Statement: [Robert Stone, name, Robert Stone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Stone
Context triple: [Robert Stone, name, Robert Stone]
  • A. Robert Stone chosen
    Robert Stone was an acclaimed American novelist known for his dark, politically charged fiction exploring moral ambiguity and American involvement abroad.
  • B. David Morrell
    David Morrell is a Canadian-American novelist best known for creating the character John Rambo in his debut novel "First Blood."
  • C. Charles Glass
    Charles Glass is an American-British journalist, author, and broadcaster best known for his reporting from the Middle East and his work as ABC News chief Middle East correspondent.
  • D. Brian Hartnett
    Brian Hartnett is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the Hartnett surname.
  • E. Richard Jordan
    Richard Jordan was an American stage, film, and television actor known for his intense character roles in movies such as "Logan's Run," "The Hunt for Red October," and "Gettysburg."
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d20a25dc8190bd448f7ba7a13cbd completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f73610fc8190965c4e45a9deeac6 completed April 9, 2026, 12:47 a.m.
Created at: April 6, 2026, 11:19 a.m.