Triple

T19073493
Position Surface form Disambiguated ID Type / Status
Subject The Phoenix and the Turtle E466848 entity
Predicate printedBy P7012 FINISHED
Object Richard Field
Richard Field was an Elizabethan printer and publisher best known for printing several of William Shakespeare’s works.
 E1359056 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: Richard Field | Statement: [The Phoenix and the Turtle, printedBy, Richard Field]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Richard Field
Context triple: [The Phoenix and the Turtle, printedBy, Richard Field]
  • A. Richard Field
    Richard Field is a notable former pupil of The King’s New School, recognized for his subsequent achievements beyond the institution.
  • B. Richard Fielding
    Richard Fielding is a writer known for his work on the comic book series "The Adventures of Superman."
  • C. Ron Field
    Ron Field was an American choreographer and director best known for his innovative work on Broadway musicals in the mid-20th century.
  • D. Joseph Fields
    Joseph Fields was an American playwright, screenwriter, and producer known for his work on Broadway and in Hollywood during the mid-20th century.
  • E. Harry Fielder
    Harry Fielder was a British character actor and extra known for his numerous small roles in film and television, including appearances in major productions like Star Wars and Doctor Who.
  • 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: Richard Field
Triple: [The Phoenix and the Turtle, printedBy, Richard Field]
Generated description
Richard Field was an Elizabethan printer and publisher best known for printing several of William Shakespeare’s works.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Richard Field
Target entity description: Richard Field was an Elizabethan printer and publisher best known for printing several of William Shakespeare’s works.
  • A. Richard Field
    Richard Field is a notable former pupil of The King’s New School, recognized for his subsequent achievements beyond the institution.
  • B. Richard Fielding
    Richard Fielding is a writer known for his work on the comic book series "The Adventures of Superman."
  • C. Ron Field
    Ron Field was an American choreographer and director best known for his innovative work on Broadway musicals in the mid-20th century.
  • D. Joseph Fields
    Joseph Fields was an American playwright, screenwriter, and producer known for his work on Broadway and in Hollywood during the mid-20th century.
  • E. Harry Fielder
    Harry Fielder was a British character actor and extra known for his numerous small roles in film and television, including appearances in major productions like Star Wars and Doctor Who.
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e2e2ccbc8190bf5a2da915c81a03 completed April 20, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05e663c5e88190bebc47ce36d7c336 completed May 14, 2026, 3:12 p.m.
NEDg Description generation batch_6a05e88e3d448190b06ff96e88d60b8c completed May 14, 2026, 3:21 p.m.
NED2 Entity disambiguation (via description) batch_6a05e925f2f881908b86f3c4e83a0d5a completed May 14, 2026, 3:24 p.m.
Created at: April 10, 2026, 12:04 p.m.