Triple

T3524062
Position Surface form Disambiguated ID Type / Status
Subject Field E74495 entity
Predicate hasNotableBearer P458 FINISHED
Object John Field (cricketer)
John Field was an English cricketer known for playing first-class cricket in the late 19th century.
 E364809 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: John Field (cricketer) | Statement: [Field, hasNotableBearer, John Field (cricketer)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Field (cricketer)
Context triple: [Field, hasNotableBearer, John Field (cricketer)]
  • A. John Adams (cricketer)
    John Adams (cricketer) was an English first-class cricketer active in the late 19th century, known for playing for Derbyshire.
  • B. Ben Field
    Ben Field is an actor known for his role in the film "The Clairvoyant."
  • C. George Taylor
    George Taylor was a Canadian architect best known for designing Toronto’s historic concert venue Massey Hall.
  • D. Jim Trott
    Jim Trott is a comically dithering, stammering parish council member in the British sitcom "The Vicar of Dibley," known for his habitual repetition of "no, no, no, no... yes."
  • E. John Brabourne
    John Brabourne was a British film and television producer, known for his adaptations of classic literature and for being the son-in-law of Lord Mountbatten.
  • 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: John Field (cricketer)
Triple: [Field, hasNotableBearer, John Field (cricketer)]
Generated description
John Field was an English cricketer known for playing first-class cricket in the late 19th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Field (cricketer)
Target entity description: John Field was an English cricketer known for playing first-class cricket in the late 19th century.
  • A. John Adams (cricketer)
    John Adams (cricketer) was an English first-class cricketer active in the late 19th century, known for playing for Derbyshire.
  • B. Ben Field
    Ben Field is an actor known for his role in the film "The Clairvoyant."
  • C. George Taylor
    George Taylor was a Canadian architect best known for designing Toronto’s historic concert venue Massey Hall.
  • D. Jim Trott
    Jim Trott is a comically dithering, stammering parish council member in the British sitcom "The Vicar of Dibley," known for his habitual repetition of "no, no, no, no... yes."
  • E. John Brabourne
    John Brabourne was a British film and television producer, known for his adaptations of classic literature and for being the son-in-law of Lord Mountbatten.
  • 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc68b15881909b407486946ec3c5 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e8ae87481909eabd5847fbfa617 completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37eecfe0881909265b48c624be61f completed March 13, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_69b37f5574b08190bdde80b47f2cb99c completed March 13, 2026, 3:07 a.m.
Created at: March 8, 2026, 3:19 p.m.