Triple

T8484511
Position Surface form Disambiguated ID Type / Status
Subject Nat King Cole Trio E200798 entity
Predicate hasMember P10 FINISHED
Object Johnny Miller
Johnny Miller was an American jazz double bassist best known for his work with the Nat King Cole Trio during the 1940s.
 E735699 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: Johnny Miller | Statement: [Nat King Cole Trio, hasMember, Johnny Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Johnny Miller
Context triple: [Nat King Cole Trio, hasMember, Johnny Miller]
  • A. Tom Weiskopf
    Tom Weiskopf was an American professional golfer and acclaimed golf course architect known for his major championship win and numerous high-profile course designs.
  • B. Michael Spiller
    Michael Spiller is an American cinematographer and television director known for his work on numerous acclaimed TV comedies and films.
  • C. John Daly
    John Daly was a local landowner and civic figure after whom the Californian city of Daly City was named.
  • D. John Daly
    John Daly was a prominent British film producer known for backing influential independent and Oscar-winning films through his company Hemdale Film Corporation.
  • E. John Daly
    John Daly is a cinematographer known for his work on the 1995 film adaptation of Jane Austen's "Persuasion."
  • 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: Johnny Miller
Triple: [Nat King Cole Trio, hasMember, Johnny Miller]
Generated description
Johnny Miller was an American jazz double bassist best known for his work with the Nat King Cole Trio during the 1940s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Johnny Miller
Target entity description: Johnny Miller was an American jazz double bassist best known for his work with the Nat King Cole Trio during the 1940s.
  • A. Tom Weiskopf
    Tom Weiskopf was an American professional golfer and acclaimed golf course architect known for his major championship win and numerous high-profile course designs.
  • B. Michael Spiller
    Michael Spiller is an American cinematographer and television director known for his work on numerous acclaimed TV comedies and films.
  • C. John Daly
    John Daly was a local landowner and civic figure after whom the Californian city of Daly City was named.
  • D. John Daly
    John Daly was a prominent British film producer known for backing influential independent and Oscar-winning films through his company Hemdale Film Corporation.
  • E. John Daly
    John Daly is a cinematographer known for his work on the 1995 film adaptation of Jane Austen's "Persuasion."
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe539b70c81909f8f045312f0d5f8 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a3d7cb481908b366f76639bb955 completed April 2, 2026, 9:43 a.m.
NEDg Description generation batch_69ce3b1f6f7c8190927b5e2684ae207b completed April 2, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce3b9d38e081909be10cb209b15427 completed April 2, 2026, 9:49 a.m.
Created at: March 30, 2026, 6:12 p.m.