Triple

T9738869
Position Surface form Disambiguated ID Type / Status
Subject Captain America: The Winter Soldier E236134 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: [Captain America: The Winter Soldier, producer, Kevin Feige]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Feige
Context triple: [Captain America: The Winter Soldier, 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9ef43fec8190987628f401a27436 completed April 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afe0dab48190832ab77265c09d70 completed April 5, 2026, 12:42 a.m.
Created at: March 30, 2026, 8:22 p.m.