Triple

T15355099
Position Surface form Disambiguated ID Type / Status
Subject The Break-Up E367151 entity
Predicate editedBy P1954 FINISHED
Object Dan Lebental 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: Dan Lebental | Statement: [The Break-Up, editedBy, Dan Lebental]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Lebental
Context triple: [The Break-Up, editedBy, Dan Lebental]
  • A. Dan Lebental chosen
    Dan Lebental is an American film editor best known for his long-time collaboration with director Jon Favreau on major studio films such as the Iron Man series.
  • B. Steven Lutvak
    Steven Lutvak is an American composer and lyricist best known for co-writing the Tony Award-winning Broadway musical "A Gentleman's Guide to Love and Murder."
  • C. Dan Lebowitz
    Dan Lebowitz is an American guitarist best known as a founding member of the jam band ALO (Animal Liberation Orchestra), where he contributes to their eclectic rock, funk, and improvisational sound.
  • D. 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."
  • E. Michael Wallach
    Michael Wallach is a film and television writer best known for his work on the thriller "The Bay."
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2c00648190ae2325e1ee58dcfd completed April 16, 2026, 1:41 a.m.
Created at: April 10, 2026, 3:18 a.m.