Triple

T3757758
Position Surface form Disambiguated ID Type / Status
Subject The Wackness E82088 entity
Predicate writer P1360 FINISHED
Object Jonathan Levine E387966 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: Jonathan Levine | Statement: [The Wackness, writer, Jonathan Levine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Levine
Context triple: [The Wackness, writer, Jonathan Levine]
  • A. Jonathan Levine chosen
    Jonathan Levine is an American film director and screenwriter known for character-driven comedies and dramedies such as 50/50 and Warm Bodies.
  • B. Glenn Ficarra
    Glenn Ficarra is an American filmmaker and screenwriter best known for co-writing and directing films such as "Crazy, Stupid, Love" and "I Love You Phillip Morris," often in collaboration with John Requa.
  • C. Gregory Mottola
    Gregory Mottola is an American film director and screenwriter best known for directing the comedy films "Superbad" and "Adventureland."
  • D. Brett Ratner
    Brett Ratner is an American film director and producer best known for commercial hits like the Rush Hour series and X-Men: The Last Stand.
  • E. Marc Turtletaub
    Marc Turtletaub is an American film producer and director known for backing acclaimed independent and character-driven movies such as "Little Miss Sunshine" and "A Beautiful Day in the Neighborhood."
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbc04d348190b0e4a90d18bdd160 completed March 8, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb0fc6248190b2f4adf3fd2d73d9 completed March 14, 2026, 6:07 a.m.
Created at: March 8, 2026, 3:35 p.m.