Triple

T21859664
Position Surface form Disambiguated ID Type / Status
Subject Varsity Blues E539726 entity
Predicate producer P490 FINISHED
Object Mike Tollin NE NERFINISHED

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: Mike Tollin | Statement: [Varsity Blues, producer, Mike Tollin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Tollin
Context triple: [Varsity Blues, producer, Mike Tollin]
  • A. Mike Tollin chosen
    Mike Tollin is an American film and television producer and director known for sports-themed projects such as "Coach Carter," "Radio," and the TV series "Smallville."
  • B. Tony Tollin
    Tony Tollin is a comic book colorist best known for his work at DC Comics, including major projects like "Crisis on Infinite Earths."
  • C. Mike Jost
    Mike Jost is a musician best known as the drummer for the punk rock band Helmet.
  • D. Peter Adkison
    Peter Adkison is an American game designer and entrepreneur best known as the founder and former CEO of Wizards of the Coast, the company behind Magic: The Gathering and the modern era of Dungeons & Dragons.
  • E. Sam Koppelman
    Sam Koppelman is an American writer and political speechwriter known for co-authoring books with figures like Beto O’Rourke and for his work on voting rights and democracy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47829648190bbe2d1d7033768ec completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0d63944d88190b6bd5e6ba4cc8ec1 completed April 28, 2026, 3:46 p.m.
Created at: April 16, 2026, 6:56 p.m.