Triple

T22409147
Position Surface form Disambiguated ID Type / Status
Subject Bangerz E553953 entity
Predicate producer P490 FINISHED
Object Oren Yoel
Oren Yoel is an American record producer and songwriter known for his work with major pop artists including Miley Cyrus.
 E1552823 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: Oren Yoel | Statement: [Bangerz, producer, Oren Yoel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oren Yoel
Context triple: [Bangerz, producer, Oren Yoel]
  • A. Yoel Friedman
    Yoel Friedman is an individual notable enough to be recognized as a bearer of the Friedman surname, though specific widely known public details about him are not clearly established.
  • B. Yoav Kutner
    Yoav Kutner is a technology entrepreneur best known as a co-founder of the Magento e-commerce platform and later founder of Varien Inc.
  • C. Michael Gonen
    Michael Gonen is a fictional protagonist named Michael who serves as the central character in the work "My Michael."
  • D. Eran Kolirin
    Eran Kolirin is an Israeli filmmaker and screenwriter best known for creating the acclaimed film "The Band’s Visit."
  • E. Ronen Rubinstein
    Ronen Rubinstein is an Israeli-American actor best known for starring as firefighter T.K. Strand on the television drama series "9-1-1: Lone Star."
  • 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: Oren Yoel
Triple: [Bangerz, producer, Oren Yoel]
Generated description
Oren Yoel is an American record producer and songwriter known for his work with major pop artists including Miley Cyrus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oren Yoel
Target entity description: Oren Yoel is an American record producer and songwriter known for his work with major pop artists including Miley Cyrus.
  • A. Yoel Friedman
    Yoel Friedman is an individual notable enough to be recognized as a bearer of the Friedman surname, though specific widely known public details about him are not clearly established.
  • B. Yoav Kutner
    Yoav Kutner is a technology entrepreneur best known as a co-founder of the Magento e-commerce platform and later founder of Varien Inc.
  • C. Michael Gonen
    Michael Gonen is a fictional protagonist named Michael who serves as the central character in the work "My Michael."
  • D. Eran Kolirin
    Eran Kolirin is an Israeli filmmaker and screenwriter best known for creating the acclaimed film "The Band’s Visit."
  • E. Ronen Rubinstein
    Ronen Rubinstein is an Israeli-American actor best known for starring as firefighter T.K. Strand on the television drama series "9-1-1: Lone Star."
  • 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158badc008190a3f5afb520a25e5f completed April 29, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b98002ca08190990e9ecea1dfaa15 completed May 18, 2026, 10:51 p.m.
NEDg Description generation batch_6a0b9884cb548190958d16f42be4bea8 completed May 18, 2026, 10:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0b98e7887881909ec9cc4a2a2167c5 completed May 18, 2026, 10:55 p.m.
Created at: April 16, 2026, 8:46 p.m.