Triple

T14709461
Position Surface form Disambiguated ID Type / Status
Subject I Am Not Okay with This E345508 entity
Predicate executiveProducer P7225 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: [I Am Not Okay with This, executiveProducer, Dan Levine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Levine
Context triple: [I Am Not Okay with This, executiveProducer, 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. David Levine
    David Levine is best known as the husband of American composer and singer Lucy Simon.
  • C. Stewart Levine
    Stewart Levine is an American record producer best known for his work in jazz, R&B, and pop with artists such as Hugh Masekela, Simply Red, and Joe Cocker.
  • D. 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.
  • E. 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."
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb9814e0c8190984ac30d276499cc completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3aeb59c8190a39ccb4df7815ed0 completed May 9, 2026, 11:30 p.m.
Created at: April 10, 2026, 1:28 a.m.