Triple

T22972950
Position Surface form Disambiguated ID Type / Status
Subject Garage Days E571236 entity
Predicate cinematographyBy P1953 FINISHED
Object Simon Duggan 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: Simon Duggan | Statement: [Garage Days, cinematographyBy, Simon Duggan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simon Duggan
Context triple: [Garage Days, cinematographyBy, Simon Duggan]
  • A. Simon Duggan chosen
    Simon Duggan is an Australian cinematographer known for his work on large-scale action and fantasy films, including the adaptation of the video game franchise "Warcraft."
  • B. Andrew Duggan
    Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
  • C. John Duggan
    John Duggan is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the Duggan surname.
  • D. Simon Dutton
    Simon Dutton is a British actor best known for playing Simon Templar in the late-1980s television films of "The Saint."
  • E. Sean Duggan
    Sean Duggan is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the surname Duggan.
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182343a448190a5259cdf721c9d04 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.