Triple

T7641908
Position Surface form Disambiguated ID Type / Status
Subject Guardians of the Galaxy (2014 film) E173029 entity
Predicate producer P490 FINISHED
Object Kevin Feige E199353 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: Kevin Feige | Statement: [Guardians of the Galaxy (2014 film), producer, Kevin Feige]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Feige
Context triple: [Guardians of the Galaxy (2014 film), producer, Kevin Feige]
  • A. Kevin Feige chosen
    Kevin Feige is an American film producer best known as the president of Marvel Studios and the chief architect of the Marvel Cinematic Universe.
  • B. Peter Hunt
    Peter Hunt is a British film editor and director best known for his work on the early James Bond films, including directing "On Her Majesty's Secret Service."
  • C. David Heyman
    David Heyman is a British film producer best known for originating and producing the Harry Potter film series and other major studio franchises.
  • D. David Eick
    David Eick is an American television producer best known for co-developing and producing the critically acclaimed reimagined Battlestar Galactica series.
  • E. Simon Kinberg
    Simon Kinberg is a British-born American screenwriter and producer best known for his extensive work on the X-Men film franchise and other major Hollywood blockbusters.
  • 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_69c6995360188190968ee57b72a1627f completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6facefbe08190882bd76cf3cd605e completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89acaac6481908ef763647a0ca9b3 completed March 29, 2026, 3:21 a.m.
Created at: March 27, 2026, 3:58 p.m.