Triple

T16379217
Position Surface form Disambiguated ID Type / Status
Subject For Tonight We Might Die E397755 entity
Predicate featuresActor P15562 FINISHED
Object Greg Austin E213741 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: Greg Austin | Statement: [For Tonight We Might Die, featuresActor, Greg Austin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Austin
Context triple: [For Tonight We Might Die, featuresActor, Greg Austin]
  • A. Greg Austin chosen
    Greg Austin is a British actor best known for his roles in television series such as "Mr Selfridge" and the "Doctor Who" spin-off "Class."
  • B. Kevin Beattie
    Kevin Beattie was an English central defender renowned as one of Ipswich Town’s greatest ever players and a standout talent of 1970s English football.
  • C. Phil Callaghan
    Phil Callaghan is a person notable enough to be recognized as a bearer of the surname Callaghan.
  • D. Andy Cullen
    Andy Cullen is a fictional character from the classic 1950 film noir "The Man Who Cheated Himself."
  • E. Andrew Gunn
    Andrew Gunn is a British television director known for his work on series such as Doctor Who.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319da3c6c8190a9ccf744996c31e8 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0084a88dc08190a78973bc71f179d4 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:08 a.m.