Triple

T3376711
Position Surface form Disambiguated ID Type / Status
Subject Iron Man 3 E71082 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: [Iron Man 3, producer, Kevin Feige]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Feige
Context triple: [Iron Man 3, 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. 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.
  • E. Steve Golin
    Steve Golin was an American film and television producer and founder of the production company Anonymous Content, known for backing acclaimed projects such as "Spotlight," "Eternal Sunshine of the Spotless Mind," and numerous award-winning TV series.
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2e776508190bc123fb17b36f062 completed March 8, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b334465b50819080c6f23eaa6583be completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:13 p.m.