Triple

T22838454
Position Surface form Disambiguated ID Type / Status
Subject Last Orders E566009 entity
Predicate cinematography P1953 FINISHED
Object Brian Tufano 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: Brian Tufano | Statement: [Last Orders, cinematography, Brian Tufano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Tufano
Context triple: [Last Orders, cinematography, Brian Tufano]
  • A. Brian Tufano chosen
    Brian Tufano was a British cinematographer best known for his influential work on films like "Trainspotting," "Shallow Grave," and "Billy Elliot."
  • B. Brian Rooks
    Brian Rooks is a collegiate sports administrator who serves as the athletic director for Colorado Mesa University's Mavericks athletic programs.
  • C. Doug Madsen
    Doug Madsen is a middle-aged suburban man and member of a motorcycle-riding friends group in the comedy film "Wild Hogs."
  • D. Josh Sitton
    Josh Sitton is a former American football guard best known for his Pro Bowl career with the Green Bay Packers in the NFL.
  • E. Ben Gannon
    Ben Gannon is the hotshot U.S. Navy pilot protagonist of the 2005 sci-fi action film "Stealth," known for his role in confronting a rogue AI-controlled fighter jet.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e8244dc819089c0a7525fb512ab completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:35 p.m.