Triple

T16457559
Position Surface form Disambiguated ID Type / Status
Subject 50/50 E399720 entity
Predicate director P255 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: [50/50, director, Jonathan Levine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Levine
Context triple: [50/50, director, 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. Lorenzo Natali
    Lorenzo Natali was an Italian politician and long-serving European Commissioner who played a key role in European integration and development policy in the late 20th century.
  • D. Will Speck
    Will Speck is an American film director best known for co-directing mainstream comedies such as "Blades of Glory" and "Office Christmas Party."
  • E. Gregory Mottola
    Gregory Mottola is an American film director and screenwriter best known for directing the comedy films "Superbad" and "Adventureland."
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d7ef5cc819084cfeb1a3e39d3cc completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f51d93081909ede0adcf8e604d4 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:10 a.m.