Triple

T15368434
Position Surface form Disambiguated ID Type / Status
Subject Jack Goes Home E367475 entity
Predicate producer P490 FINISHED
Object Jordan Yale Levine
Jordan Yale Levine is an American film producer known for his work on numerous independent films.
 E1152839 NE FINISHED

How this triple was built (4 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: Jordan Yale Levine | Statement: [Jack Goes Home, producer, Jordan Yale Levine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jordan Yale Levine
Context triple: [Jack Goes Home, producer, Jordan Yale Levine]
  • A. Jonathan Lavine
    Jonathan Lavine is an American investor and philanthropist best known as a senior executive and co-managing partner at the private investment firm Bain Capital.
  • B. Uri Levine
    Uri Levine is an Israeli entrepreneur best known as the co-founder of the GPS navigation app Waze, which was acquired by Google.
  • C. Dan Levine
    Dan Levine is a film producer best known for his work on the acclaimed science-fiction drama "Arrival."
  • D. Benjamin Joseph Levin
    Benjamin Joseph Levin, better known as Benny Blanco, is an American record producer, songwriter, and musician recognized for crafting numerous chart-topping pop hits for major artists.
  • E. Michael Levy
    Michael Levy is a film producer known for his work on the action-crime drama movie "Waist Deep."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jordan Yale Levine
Triple: [Jack Goes Home, producer, Jordan Yale Levine]
Generated description
Jordan Yale Levine is an American film producer known for his work on numerous independent films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jordan Yale Levine
Target entity description: Jordan Yale Levine is an American film producer known for his work on numerous independent films.
  • A. Jonathan Lavine
    Jonathan Lavine is an American investor and philanthropist best known as a senior executive and co-managing partner at the private investment firm Bain Capital.
  • B. Uri Levine
    Uri Levine is an Israeli entrepreneur best known as the co-founder of the GPS navigation app Waze, which was acquired by Google.
  • C. Dan Levine
    Dan Levine is a film producer best known for his work on the acclaimed science-fiction drama "Arrival."
  • D. Benjamin Joseph Levin
    Benjamin Joseph Levin, better known as Benny Blanco, is an American record producer, songwriter, and musician recognized for crafting numerous chart-topping pop hits for major artists.
  • E. Michael Levy
    Michael Levy is a film producer known for his work on the action-crime drama movie "Waist Deep."
  • F. None of above. chosen

Provenance (5 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_69e03e4a7cdc8190b7b48c97e774c306 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b50703881909ca71c985bc1c7b5 completed May 9, 2026, 10:24 a.m.
NEDg Description generation batch_69ff0cb1b9188190b0eb99661d26206f completed May 9, 2026, 10:30 a.m.
NED2 Entity disambiguation (via description) batch_69ff0d3182f08190abd463d921e1830e completed May 9, 2026, 10:32 a.m.
Created at: April 10, 2026, 3:18 a.m.