Triple

T19879970
Position Surface form Disambiguated ID Type / Status
Subject Norbit E477743 entity
Predicate producer P490 FINISHED
Object Michael 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: Michael Tollin | Statement: [Norbit, producer, Michael Tollin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Tollin
Context triple: [Norbit, producer, Michael 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. Jon Kroll
    Jon Kroll is a television producer and showrunner known for his work on various reality and documentary series.
  • D. 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.
  • E. Scott Gilman
    Scott Gilman is a musician best known as a member of the British-American rock band Foreigner.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658de4b288190a41bee67f570be1e completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:52 p.m.