Triple

T6628124
Position Surface form Disambiguated ID Type / Status
Subject The Vampire Diaries E149853 entity
Predicate executiveProducer P7225 FINISHED
Object Bob Levy
Bob Levy is a television producer best known for his executive production work on popular series such as The Vampire Diaries.
E600931 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: Bob Levy | Statement: [The Vampire Diaries, executiveProducer, Bob Levy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Levy
Context triple: [The Vampire Diaries, executiveProducer, Bob Levy]
  • A. Sam Levy
    Sam Levy is an American cinematographer best known for his frequent collaborations with director Noah Baumbach and his work on acclaimed independent films.
  • B. Dave Trager
    Dave Trager was a sports executive best known for owning the early NBA franchise that became the Chicago Packers.
  • C. John Heyman
    John Heyman was a British film and television producer and financier known for backing and producing a range of notable international films from the 1960s onward.
  • D. Joe Weinstock
    Joe Weinstock is a television producer best known for his executive production work on the science-themed docuseries "The End Is Nye."
  • E. Bob Cmelik
    Bob Cmelik is a computer engineer best known as one of the founders of the innovative microprocessor company Transmeta.
  • 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: Bob Levy
Triple: [The Vampire Diaries, executiveProducer, Bob Levy]
Generated description
Bob Levy is a television producer best known for his executive production work on popular series such as The Vampire Diaries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bob Levy
Target entity description: Bob Levy is a television producer best known for his executive production work on popular series such as The Vampire Diaries.
  • A. Sam Levy
    Sam Levy is an American cinematographer best known for his frequent collaborations with director Noah Baumbach and his work on acclaimed independent films.
  • B. Dave Trager
    Dave Trager was a sports executive best known for owning the early NBA franchise that became the Chicago Packers.
  • C. John Heyman
    John Heyman was a British film and television producer and financier known for backing and producing a range of notable international films from the 1960s onward.
  • D. Joe Weinstock
    Joe Weinstock is a television producer best known for his executive production work on the science-themed docuseries "The End Is Nye."
  • E. Bob Cmelik
    Bob Cmelik is a computer engineer best known as one of the founders of the innovative microprocessor company Transmeta.
  • 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afa2e4a48190ba3c70013bab14f2 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbeb04348190957b8e5f098b72bf completed March 27, 2026, 6:26 p.m.
NEDg Description generation batch_69c6cd0a98908190a5725c49bad7589d completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cdcf14508190876faa73f5eec884 completed March 27, 2026, 6:34 p.m.
Created at: March 27, 2026, 1:59 p.m.