Triple

T11119096
Position Surface form Disambiguated ID Type / Status
Subject A Seat at the Table E262970 entity
Predicate producer P490 FINISHED
Object Patrick Wimberly
Patrick Wimberly is an American record producer and musician known for his work with the indie pop band Chairlift and for producing albums for prominent artists across pop and R&B.
 E906044 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: Patrick Wimberly | Statement: [A Seat at the Table, producer, Patrick Wimberly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Patrick Wimberly
Context triple: [A Seat at the Table, producer, Patrick Wimberly]
  • A. Keith Crouch
    Keith Crouch is an American R&B songwriter and record producer best known for his work on Brandy’s early hits and other 1990s soul and gospel projects.
  • B. Glen Stewart
    Glen Stewart is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
  • C. Joel O’Brien
    Joel O’Brien is a musician known for his work featured on the album "Tapestry."
  • D. Dan Foy
    Dan Foy is an American local politician who serves as the mayor of Burbank, Illinois.
  • E. Art Gilmore
    Art Gilmore was an American voice actor and announcer renowned for his distinctive narration in classic film noirs, newsreels, radio, and television programs.
  • 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: Patrick Wimberly
Triple: [A Seat at the Table, producer, Patrick Wimberly]
Generated description
Patrick Wimberly is an American record producer and musician known for his work with the indie pop band Chairlift and for producing albums for prominent artists across pop and R&B.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Patrick Wimberly
Target entity description: Patrick Wimberly is an American record producer and musician known for his work with the indie pop band Chairlift and for producing albums for prominent artists across pop and R&B.
  • A. Keith Crouch
    Keith Crouch is an American R&B songwriter and record producer best known for his work on Brandy’s early hits and other 1990s soul and gospel projects.
  • B. Glen Stewart
    Glen Stewart is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
  • C. Joel O’Brien
    Joel O’Brien is a musician known for his work featured on the album "Tapestry."
  • D. Dan Foy
    Dan Foy is an American local politician who serves as the mayor of Burbank, Illinois.
  • E. Art Gilmore
    Art Gilmore was an American voice actor and announcer renowned for his distinctive narration in classic film noirs, newsreels, radio, and television programs.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79af6fe448190b042c2e77b855b05 completed April 9, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d8084a88190918f1f94ca0119ed completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e4307baca48190bbf82f8235d7e2c7 completed April 19, 2026, 1:31 a.m.
NED2 Entity disambiguation (via description) batch_69e43771eaec8190be9bb709723931e0 completed April 19, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:28 p.m.