Triple

T19645839
Position Surface form Disambiguated ID Type / Status
Subject Blood, Sweat & Tears E471668 entity
Predicate originalMember P446 FINISHED
Object Jim Fielder
Jim Fielder is an American bassist best known for his work with the jazz-rock band Blood, Sweat & Tears and his contributions to their classic late-1960s recordings.
 E1387681 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: Jim Fielder | Statement: [Blood, Sweat & Tears, originalMember, Jim Fielder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jim Fielder
Context triple: [Blood, Sweat & Tears, originalMember, Jim Fielder]
  • A. Bruce Fielder
    Bruce Fielder, better known by his stage name Sigala, is a British DJ, record producer, and songwriter recognized for his upbeat electronic dance music hits.
  • B. Ron Field
    Ron Field was an American choreographer and director best known for his innovative work on Broadway musicals in the mid-20th century.
  • C. Stan Fields
    Stan Fields is a fictional beauty pageant host and commentator featured in the comedy film series "Miss Congeniality."
  • D. Jack Fields
    Jack Fields was the first husband of American actress and television producer Whitney Blake.
  • E. Sam Feldt
    Sam Feldt is a Dutch DJ and electronic music producer known for his melodic deep house tracks and tropical house remixes.
  • 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: Jim Fielder
Triple: [Blood, Sweat & Tears, originalMember, Jim Fielder]
Generated description
Jim Fielder is an American bassist best known for his work with the jazz-rock band Blood, Sweat & Tears and his contributions to their classic late-1960s recordings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jim Fielder
Target entity description: Jim Fielder is an American bassist best known for his work with the jazz-rock band Blood, Sweat & Tears and his contributions to their classic late-1960s recordings.
  • A. Bruce Fielder
    Bruce Fielder, better known by his stage name Sigala, is a British DJ, record producer, and songwriter recognized for his upbeat electronic dance music hits.
  • B. Ron Field
    Ron Field was an American choreographer and director best known for his innovative work on Broadway musicals in the mid-20th century.
  • C. Stan Fields
    Stan Fields is a fictional beauty pageant host and commentator featured in the comedy film series "Miss Congeniality."
  • D. Jack Fields
    Jack Fields was the first husband of American actress and television producer Whitney Blake.
  • E. Sam Feldt
    Sam Feldt is a Dutch DJ and electronic music producer known for his melodic deep house tracks and tropical house remixes.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641250e108190a707452fefc87041 completed April 20, 2026, 3:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a077eead4408190a6d1c74949f1ae89 completed May 15, 2026, 8:15 p.m.
NEDg Description generation batch_6a077fa5f9808190b5e74c259a5a5107 completed May 15, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_6a0780926a308190a34addf2980dc695 completed May 15, 2026, 8:22 p.m.
Created at: April 10, 2026, 1:44 p.m.