Triple

T9678985
Position Surface form Disambiguated ID Type / Status
Subject Yellow E234234 entity
Predicate producer P490 FINISHED
Object Ken Nelson
Ken Nelson was an influential American record producer best known for his work with country and pop artists at Capitol Records during the mid-20th century.
 E850487 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: Ken Nelson | Statement: [Yellow, producer, Ken Nelson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ken Nelson
Context triple: [Yellow, producer, Ken Nelson]
  • A. Jeff Nelson
    Jeff Nelson is a Major League Baseball umpire who has served in numerous postseason games, including as a crew chief in the World Series.
  • B. Michael Nelson
    Michael Nelson is a musician best known for his work as a member of Prince’s backing band, The New Power Generation.
  • C. Kent Nelson
    Kent Nelson is the DC Comics sorcerer who becomes Doctor Fate, a powerful mystical hero and longtime member of the Justice Society of America.
  • D. Kevin Nelson
    Kevin Nelson is a former professional American football player best known for his role with the USFL’s Los Angeles Express.
  • E. Brian Nelson
    Brian Nelson is an American screenwriter best known for his work on the horror film "30 Days of Night" and the thriller "Hard Candy."
  • 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: Ken Nelson
Triple: [Yellow, producer, Ken Nelson]
Generated description
Ken Nelson was an influential American record producer best known for his work with country and pop artists at Capitol Records during the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ken Nelson
Target entity description: Ken Nelson was an influential American record producer best known for his work with country and pop artists at Capitol Records during the mid-20th century.
  • A. Jeff Nelson
    Jeff Nelson is a Major League Baseball umpire who has served in numerous postseason games, including as a crew chief in the World Series.
  • B. Michael Nelson
    Michael Nelson is a musician best known for his work as a member of Prince’s backing band, The New Power Generation.
  • C. Kent Nelson
    Kent Nelson is the DC Comics sorcerer who becomes Doctor Fate, a powerful mystical hero and longtime member of the Justice Society of America.
  • D. Kevin Nelson
    Kevin Nelson is a former professional American football player best known for his role with the USFL’s Los Angeles Express.
  • E. Brian Nelson
    Brian Nelson is an American screenwriter best known for his work on the horror film "30 Days of Night" and the thriller "Hard Candy."
  • 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9c9c586c8190abc0ab1771bf6c5c completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6a77b6fac81909a9b0998f5dd1e58 completed April 8, 2026, 7:07 p.m.
NEDg Description generation batch_69d6aac2dc4c819088a8c29d604cf9ce completed April 8, 2026, 7:21 p.m.
NED2 Entity disambiguation (via description) batch_69d6d02015bc8190a7041a7d725c8a1b completed April 8, 2026, 10:01 p.m.
Created at: March 30, 2026, 8:16 p.m.