Triple

T3127898
Position Surface form Disambiguated ID Type / Status
Subject Use This Gospel E65340 entity
Predicate producer P490 FINISHED
Object Timothy “Tee” Brown
Timothy “Tee” Brown is a music producer best known for his work on the Kanye West track “Use This Gospel.”
 E330258 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: Timothy “Tee” Brown | Statement: [Use This Gospel, producer, Timothy “Tee” Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Timothy “Tee” Brown
Context triple: [Use This Gospel, producer, Timothy “Tee” Brown]
  • A. Owen Teague
    Owen Teague is an American actor known for his roles in film and television, including appearances in projects like the horror film "It" and various acclaimed TV series.
  • B. Timothy Edwards
    Timothy Edwards was a colonial New England Congregational minister and scholar, best known as the father of theologian Jonathan Edwards.
  • C. Tucker Martine
    Tucker Martine is an American record producer, engineer, and musician known for his innovative work with artists across indie rock, folk, and experimental music.
  • D. Ryan Brown
    Ryan Brown is a film editor known for his work on the movie "Horse Girl."
  • E. Timothy Rivers
    Timothy Rivers is an individual notable enough to be specifically cited as a bearer of the surname Rivers.
  • 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: Timothy “Tee” Brown
Triple: [Use This Gospel, producer, Timothy “Tee” Brown]
Generated description
Timothy “Tee” Brown is a music producer best known for his work on the Kanye West track “Use This Gospel.”
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Timothy “Tee” Brown
Target entity description: Timothy “Tee” Brown is a music producer best known for his work on the Kanye West track “Use This Gospel.”
  • A. Owen Teague
    Owen Teague is an American actor known for his roles in film and television, including appearances in projects like the horror film "It" and various acclaimed TV series.
  • B. Timothy Edwards
    Timothy Edwards was a colonial New England Congregational minister and scholar, best known as the father of theologian Jonathan Edwards.
  • C. Tucker Martine
    Tucker Martine is an American record producer, engineer, and musician known for his innovative work with artists across indie rock, folk, and experimental music.
  • D. Ryan Brown
    Ryan Brown is a film editor known for his work on the movie "Horse Girl."
  • E. Timothy Rivers
    Timothy Rivers is an individual notable enough to be specifically cited as a bearer of the surname Rivers.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada546a6648190bc4bc3e599e6aa95 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f7926248190b8f08e3a626e8eab completed March 12, 2026, 12:57 a.m.
NEDg Description generation batch_69b2135f05c88190b926556828a038ac completed March 12, 2026, 1:14 a.m.
NED2 Entity disambiguation (via description) batch_69b214268d588190996d909297baaffc completed March 12, 2026, 1:17 a.m.
Created at: March 8, 2026, 3:04 p.m.