Triple

T7603937
Position Surface form Disambiguated ID Type / Status
Subject The Lion King (2019 film) E180053 entity
Predicate producer P490 FINISHED
Object Jon Favreau E48163 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: Jon Favreau | Statement: [The Lion King (2019 film), producer, Jon Favreau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jon Favreau
Context triple: [The Lion King (2019 film), producer, Jon Favreau]
  • A. Jon Favreau chosen
    Jon Favreau is an American filmmaker and actor known for directing blockbuster films such as Iron Man and The Jungle Book and for creating the Star Wars series The Mandalorian.
  • B. Avri Roel Downey
    Avri Roel Downey is the daughter of actor Robert Downey Jr. and producer Susan Downey.
  • C. Peyton Reed
    Peyton Reed is an American film director known for helming major studio comedies and Marvel superhero films, including entries in the Ant-Man series.
  • D. Chris McKay
    Chris McKay is an American filmmaker and animator best known for his work directing and editing acclaimed animated comedies such as The Lego Batman Movie.
  • E. Jake Smollett
    Jake Smollett is an American actor and chef known for his work as a child star on the sitcom "On Our Own" and later as a culinary personality and cookbook author.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fbd1408190b721bf016f997c7b completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870858c648190acbbad9b5bb12ba4 completed March 29, 2026, 12:21 a.m.
Created at: March 27, 2026, 3:54 p.m.