Triple

T3376734
Position Surface form Disambiguated ID Type / Status
Subject Iron Man 3 E71082 entity
Predicate castMember P1668 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: [Iron Man 3, castMember, Jon Favreau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jon Favreau
Context triple: [Iron Man 3, castMember, 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. 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.
  • C. 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.
  • D. Robert Downey Jr.
    Robert Downey Jr. is an acclaimed American actor best known for his charismatic performances in films such as the Iron Man and Avengers series, as well as his critically lauded dramatic roles.
  • E. Chris Buck
    Chris Buck is an American film director, animator, and screenwriter best known for co-directing Disney’s hit animated films such as Tarzan and Frozen.
  • 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_69b367ee84408190b167673d6f7ba6b0 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:13 p.m.