Triple

T10471062
Position Surface form Disambiguated ID Type / Status
Subject The Darkest Minds E246921 entity
Predicate producer P490 FINISHED
Object Dan Levine E664621 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: Dan Levine | Statement: [The Darkest Minds, producer, Dan Levine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Levine
Context triple: [The Darkest Minds, producer, Dan Levine]
  • A. Dan Levine chosen
    Dan Levine is a film producer best known for his work on the acclaimed science-fiction drama "Arrival."
  • B. Nat Levine
    Nat Levine was an American film producer best known for founding Mascot Pictures and producing popular movie serials during the 1920s and 1930s.
  • C. Sam Levine
    Sam Levine is an American animation director and storyboard artist known for co-directing the superhero comedy film "DC League of Super-Pets."
  • D. Philip Andelman
    Philip Andelman is an American music video and commercial director known for his work with major artists across pop and rock music.
  • E. Charles Michael Levine
    Charles Michael Levine, better known as Chuck Lorre, is an American television writer, director, producer, and creator behind hit sitcoms such as "The Big Bang Theory," "Two and a Half Men," and "Dharma & Greg."
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509305fec81908b1acd91ae1f875d completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4aca16a10819097bb8655c8c1a36d completed April 19, 2026, 10:21 a.m.
Created at: April 6, 2026, 12:20 p.m.