Triple

T9424907
Position Surface form Disambiguated ID Type / Status
Subject Around the World in a Day E227241 entity
Predicate producer P490 FINISHED
Object David Leonard
David Leonard is a record producer and audio engineer known for his work on influential albums such as Prince’s "Around the World in a Day."
E797847 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: David Leonard | Statement: [Around the World in a Day, producer, David Leonard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Leonard
Context triple: [Around the World in a Day, producer, David Leonard]
  • A. Steve Leonard
    Steve Leonard is a British veterinarian and television presenter best known for fronting wildlife and animal documentary programmes.
  • B. Dan Foy
    Dan Foy is an American local politician who serves as the mayor of Burbank, Illinois.
  • C. Ronald Lenhoff
    Ronald Lenhoff is a songwriter best known for co-writing James Brown’s influential funk track "Get Up (I Feel Like Being a) Sex Machine."
  • D. Ted Leonard
    Ted Leonard is an American progressive rock singer and guitarist best known as the lead vocalist for the band Enchant and later as the frontman for Spock’s Beard.
  • E. Dan Rydell
    Dan Rydell is a charismatic, quick-witted sports anchor and one of the central protagonists on the television series "Sports Night."
  • 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: David Leonard
Triple: [Around the World in a Day, producer, David Leonard]
Generated description
David Leonard is a record producer and audio engineer known for his work on influential albums such as Prince’s "Around the World in a Day."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Leonard
Target entity description: David Leonard is a record producer and audio engineer known for his work on influential albums such as Prince’s "Around the World in a Day."
  • A. Steve Leonard
    Steve Leonard is a British veterinarian and television presenter best known for fronting wildlife and animal documentary programmes.
  • B. Dan Foy
    Dan Foy is an American local politician who serves as the mayor of Burbank, Illinois.
  • C. Ronald Lenhoff
    Ronald Lenhoff is a songwriter best known for co-writing James Brown’s influential funk track "Get Up (I Feel Like Being a) Sex Machine."
  • D. Ted Leonard
    Ted Leonard is an American progressive rock singer and guitarist best known as the lead vocalist for the band Enchant and later as the frontman for Spock’s Beard.
  • E. Dan Rydell
    Dan Rydell is a charismatic, quick-witted sports anchor and one of the central protagonists on the television series "Sports Night."
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c8f59dc8190854dfc0d287731c6 completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107d677c08190a438659c170bab72 completed April 4, 2026, 12:45 p.m.
NEDg Description generation batch_69d1086f03808190896186daa5857e39 completed April 4, 2026, 12:47 p.m.
NED2 Entity disambiguation (via description) batch_69d1090215308190beda7c0115020f5b completed April 4, 2026, 12:50 p.m.
Created at: March 30, 2026, 7:49 p.m.