Triple

T18222749
Position Surface form Disambiguated ID Type / Status
Subject Guy Green E436346 entity
Predicate name P16 FINISHED
Object Guy Green NE NERFINISHED

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: Guy Green | Statement: [Guy Green, name, Guy Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guy Green
Context triple: [Guy Green, name, Guy Green]
  • A. Guy Green chosen
    Guy Green was an English cinematographer and film director, best known for winning an Academy Award for his work on "Great Expectations" (1946) and later directing acclaimed dramas such as "A Patch of Blue."
  • B. Mart Green
    Mart Green is an American businessman and Christian philanthropist best known as the founder of Mardel Christian & Education and the son of Hobby Lobby founder David Green.
  • C. Jim Green
    Jim Green is a central character in the fantasy drama film "The Odd Life of Timothy Green," portrayed as a loving husband whose life is transformed by the mysterious arrival of a magical child.
  • D. Martin Green
    Martin Green is a renowned Australian engineer and solar energy researcher recognized as a leading pioneer in photovoltaic technology.
  • E. Jerry Greenfield
    Jerry Greenfield is an American businessman and philanthropist best known as the co-founder of the ice cream company Ben & Jerry's.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e47c85108190bd9707b40bdfdb38 completed April 19, 2026, 2:19 p.m.
Created at: April 10, 2026, 10:32 a.m.