Triple

T18092743
Position Surface form Disambiguated ID Type / Status
Subject Closing Time E433012 entity
Predicate producer P490 FINISHED
Object Jerry Yester
Jerry Yester is an American musician and record producer best known for his work with the Lovin' Spoonful and his influential role in the 1960s and 1970s folk-rock scene.
 E1304923 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: Jerry Yester | Statement: [Closing Time, producer, Jerry Yester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jerry Yester
Context triple: [Closing Time, producer, Jerry Yester]
  • A. John O’May
    John O’May is an actor known for his role in the Australian musical comedy film "Starstruck" (1982).
  • B. Jeff Fager
    Jeff Fager is an American television producer best known for leading and shaping the long-running CBS news magazine program "60 Minutes."
  • C. Ron Torbert
    Ron Torbert is an American NFL official who has served as a referee in multiple high-profile games, including Super Bowl LVI.
  • D. Bill Kunkel
    Bill Kunkel was an American Major League Baseball umpire and former pitcher who officiated in several World Series during his career.
  • E. Terry Gilkyson
    Terry Gilkyson was an American folk singer and songwriter best known for penning classic Disney songs, including "The Bare Necessities" from The Jungle Book.
  • 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: Jerry Yester
Triple: [Closing Time, producer, Jerry Yester]
Generated description
Jerry Yester is an American musician and record producer best known for his work with the Lovin' Spoonful and his influential role in the 1960s and 1970s folk-rock scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jerry Yester
Target entity description: Jerry Yester is an American musician and record producer best known for his work with the Lovin' Spoonful and his influential role in the 1960s and 1970s folk-rock scene.
  • A. John O’May
    John O’May is an actor known for his role in the Australian musical comedy film "Starstruck" (1982).
  • B. Jeff Fager
    Jeff Fager is an American television producer best known for leading and shaping the long-running CBS news magazine program "60 Minutes."
  • C. Ron Torbert
    Ron Torbert is an American NFL official who has served as a referee in multiple high-profile games, including Super Bowl LVI.
  • D. Bill Kunkel
    Bill Kunkel was an American Major League Baseball umpire and former pitcher who officiated in several World Series during his career.
  • E. Terry Gilkyson
    Terry Gilkyson was an American folk singer and songwriter best known for penning classic Disney songs, including "The Bare Necessities" from The Jungle Book.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dd1972a881908072990de0715547 completed April 19, 2026, 1:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a035d9b6d248190964ffe6cfb19b2d8 completed May 12, 2026, 5:04 p.m.
NEDg Description generation batch_6a036a7c0d9881909750358cfd270cf5 completed May 12, 2026, 5:59 p.m.
NED2 Entity disambiguation (via description) batch_6a036af992b48190854e40c1e8acdb0b completed May 12, 2026, 6:01 p.m.
Created at: April 10, 2026, 10:27 a.m.