Triple

T23366633
Position Surface form Disambiguated ID Type / Status
Subject Barry Nelson E593340 entity
Predicate name P16 FINISHED
Object Barry Nelson 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: Barry Nelson | Statement: [Barry Nelson, name, Barry Nelson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barry Nelson
Context triple: [Barry Nelson, name, Barry Nelson]
  • A. Barry Nelson chosen
    Barry Nelson was an American actor known for his work in film, television, and theater, and notably recognized as the first actor to portray James Bond on screen.
  • B. Sam Hamill
    Sam Hamill was an American poet, translator, and co-founder of Copper Canyon Press, renowned for his English translations of classical Japanese literature and poetry.
  • C. Ronald Vernon Newman
    Ronald Vernon Newman was an English-born American soccer coach best known for his pioneering role and success in North American professional and indoor soccer.
  • D. Tom Willis
    Tom Willis is a prominent character on the sitcom "The Jeffersons," known as George and Louise Jefferson’s white neighbor in an interracial marriage that often highlights social and racial tensions with humor.
  • E. Dean Jones
    Dean Jones was an American actor best known for his leading roles in numerous Disney live-action films during the 1960s and 1970s.
  • 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0ac7494819082e98ac5632eba28 completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:31 p.m.