Triple

T5555579
Position Surface form Disambiguated ID Type / Status
Subject Andre Braugher E145629 entity
Predicate characterPortrayed P1507 FINISHED
Object Nick Atwater E318329 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: Nick Atwater | Statement: [Andre Braugher, characterPortrayed, Nick Atwater]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Atwater
Context triple: [Andre Braugher, characterPortrayed, Nick Atwater]
  • A. Nick Atwater chosen
    Nick Atwater is a veteran professional thief and conflicted family man who leads a high-stakes heist crew in the crime drama series "Thief."
  • B. Brad Van Pelt
    Brad Van Pelt was a standout linebacker for the New York Giants in the 1970s and early 1980s, known for his Pro Bowl-caliber play and leadership on defense.
  • C. David Rivers
    David Rivers is a former American professional basketball player best known for his standout college career at Notre Dame and subsequent play in the NBA and top European leagues.
  • D. Roy Tarpley
    Roy Tarpley was an American professional basketball player, best known as a talented but troubled Dallas Mavericks big man whose NBA career was derailed by substance abuse issues.
  • E. Tim Bagley
    Tim Bagley is an American character actor and comedian known for his numerous supporting roles in film and television, including appearances in popular comedies throughout the 1990s and 2000s.
  • 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ffc5e7c81908e1c454d3bfd357b completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0283bd408819085c62caf254df339 completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:36 p.m.