Triple

T9435911
Position Surface form Disambiguated ID Type / Status
Subject Greenfield, California E227505 entity
Predicate namedAfter P63 FINISHED
Object John Greenfield
John Greenfield was an individual significant enough in local or regional history that the city of Greenfield, California, was named in his honor.
 E799693 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 Greenfield | Statement: [Greenfield, California, namedAfter, John Greenfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Greenfield
Context triple: [Greenfield, California, namedAfter, John Greenfield]
  • A. Christopher Greenbury
    Christopher Greenbury was a British film editor best known for his Academy Award–winning work on the 1999 drama "American Beauty."
  • B. Jeffrey Greenstein
    Jeffrey Greenstein is a film producer known for his work on action and genre movies, including the war drama "The Outpost."
  • C. Richard Green
    Richard Green was an American boxing referee best known for officiating major heavyweight bouts, including the 1980 title fight between Larry Holmes and Muhammad Ali.
  • D. John M. Greene
    John M. Greene was a 19th-century clergyman and educator whose advocacy and support were instrumental in the founding and shaping of Smith College.
  • E. Raymond Greenleaf
    Raymond Greenleaf was an American character actor known for his supporting roles in mid-20th-century films and television.
  • 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 Greenfield
Triple: [Greenfield, California, namedAfter, John Greenfield]
Generated description
John Greenfield was an individual significant enough in local or regional history that the city of Greenfield, California, was named in his honor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Greenfield
Target entity description: John Greenfield was an individual significant enough in local or regional history that the city of Greenfield, California, was named in his honor.
  • A. Christopher Greenbury
    Christopher Greenbury was a British film editor best known for his Academy Award–winning work on the 1999 drama "American Beauty."
  • B. Jeffrey Greenstein
    Jeffrey Greenstein is a film producer known for his work on action and genre movies, including the war drama "The Outpost."
  • C. Richard Green
    Richard Green was an American boxing referee best known for officiating major heavyweight bouts, including the 1980 title fight between Larry Holmes and Muhammad Ali.
  • D. John M. Greene
    John M. Greene was a 19th-century clergyman and educator whose advocacy and support were instrumental in the founding and shaping of Smith College.
  • E. Raymond Greenleaf
    Raymond Greenleaf was an American character actor known for his supporting roles in mid-20th-century films and television.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7e64109081908222f590928bc572 completed April 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1104ed8d081909acb08b13cf35555 completed April 4, 2026, 1:21 p.m.
NEDg Description generation batch_69d111a770c881909a2902d36cd7913c completed April 4, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69d112634fb48190b4c7e9d997d27928 completed April 4, 2026, 1:30 p.m.
Created at: March 30, 2026, 7:50 p.m.