Triple

T15127592
Position Surface form Disambiguated ID Type / Status
Subject Fennec Shand E361332 entity
Predicate creator P184 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: [Fennec Shand, creator, Jon Favreau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jon Favreau
Context triple: [Fennec Shand, creator, 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 Miller
    Chris Miller is an American writer best known for co-writing the screenplay to the influential 1978 comedy film "National Lampoon's Animal House."
  • E. Jon Favreau (speechwriter)
    Jon Favreau is an American political commentator and former Director of Speechwriting for President Barack Obama, known for crafting many of Obama's most notable speeches and co-founding the media company Crooked Media.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005a1b9288190954f2d92549805e5 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f865c08190ab8fd15c14d0c06c completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:06 a.m.