Triple

T9996178
Position Surface form Disambiguated ID Type / Status
Subject Fairview Entertainment E197206 entity
Predicate keyPerson P256 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: [Fairview Entertainment, keyPerson, Jon Favreau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jon Favreau
Context triple: [Fairview Entertainment, keyPerson, 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcb9af6a88190942cc4991bd373c1 completed April 2, 2026, 1:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a2bc4f081909595afcc2c862eda completed April 5, 2026, 1:56 p.m.
Created at: March 30, 2026, 8:50 p.m.