Triple

T13148254
Position Surface form Disambiguated ID Type / Status
Subject Role Models E312395 entity
Predicate producer P490 FINISHED
Object Scott Stuber E214905 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: Scott Stuber | Statement: [Role Models, producer, Scott Stuber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scott Stuber
Context triple: [Role Models, producer, Scott Stuber]
  • A. Scott Stuber chosen
    Scott Stuber is an American film producer and entertainment executive known for overseeing original films at Netflix and producing major Hollywood movies.
  • B. Chris Stolte
    Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
  • C. Kirk Stievely
    Kirk Stievely is a British actor best known as the former husband of actress Victoria Tennant.
  • D. Steve Traxler
    Steve Traxler is a theater and film producer best known for his work on the acclaimed stage and screen versions of "August: Osage County."
  • E. Mark Stutzman
    Mark Stutzman is an American illustrator and graphic artist known for his detailed, realistic style on book covers, posters, and commercial artwork.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd0f5b08190ab700c5de1c8e138 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8c0b24c819082d0ec947b7d99ea completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 9:11 p.m.