Triple

T11168400
Position Surface form Disambiguated ID Type / Status
Subject None But the Brave E264213 entity
Predicate editor P1954 FINISHED
Object Sam O’Steen E235640 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: Sam O’Steen | Statement: [None But the Brave, editor, Sam O’Steen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam O’Steen
Context triple: [None But the Brave, editor, Sam O’Steen]
  • A. Sam O'Steen chosen
    Sam O'Steen was an acclaimed American film editor best known for his work on influential films such as "The Graduate," "Chinatown," and "Cool Hand Luke."
  • B. Jeff Morton
    Jeff Morton is a television producer best known for his work as an executive producer on the comedy series "Life in Pieces."
  • C. Sam Sharkey
    Sam Sharkey is a character associated with the American folklore surrounding the legendary lumberjack Paul Bunyan.
  • D. Mickey Raphael
    Mickey Raphael is an American harmonica player best known for his long-time collaboration with country music legend Willie Nelson.
  • E. John Stanly
    John Stanly was an American Federalist politician and lawyer from North Carolina who served multiple terms in the U.S. House of Representatives in the early 19th 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e88843cc81909e503f0921c6d297 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e463a2e2fc819086126b681d86e94b completed April 19, 2026, 5:09 a.m.
Created at: April 8, 2026, 9:29 p.m.