Triple

T4157332
Position Surface form Disambiguated ID Type / Status
Subject A Fragment on Government E91447 entity
Predicate firstEditionPublisher P1760 FINISHED
Object T. Payne
T. Payne was an 18th-century London bookseller and publisher known for issuing significant works of political and philosophical thought.
E417821 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: T. Payne | Statement: [A Fragment on Government, firstEditionPublisher, T. Payne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: T. Payne
Context triple: [A Fragment on Government, firstEditionPublisher, T. Payne]
  • A. Louis Payne
    Louis Payne was an American actor known for his roles in early 20th-century silent films.
  • B. John Payne
    John Payne was an American film and television actor best known for his leading roles in 1940s and 1950s Hollywood movies, including the classic Christmas film "Miracle on 34th Street."
  • C. John Payne
    John Payne was an American planter and the father of Dolley Madison, who became First Lady of the United States as the wife of President James Madison.
  • D. Raymond Paine
    Raymond Paine is a fictional burlesque performer and comic character featured in the film "The Night They Raided Minsky's."
  • E. Paul Millspaugh
    Paul Millspaugh is a film editor known for his work on the romantic comedy "Two Can Play That Game."
  • 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: T. Payne
Triple: [A Fragment on Government, firstEditionPublisher, T. Payne]
Generated description
T. Payne was an 18th-century London bookseller and publisher known for issuing significant works of political and philosophical thought.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: T. Payne
Target entity description: T. Payne was an 18th-century London bookseller and publisher known for issuing significant works of political and philosophical thought.
  • A. Louis Payne
    Louis Payne was an American actor known for his roles in early 20th-century silent films.
  • B. John Payne
    John Payne was an American film and television actor best known for his leading roles in 1940s and 1950s Hollywood movies, including the classic Christmas film "Miracle on 34th Street."
  • C. John Payne
    John Payne was an American planter and the father of Dolley Madison, who became First Lady of the United States as the wife of President James Madison.
  • D. Raymond Paine
    Raymond Paine is a fictional burlesque performer and comic character featured in the film "The Night They Raided Minsky's."
  • E. Paul Millspaugh
    Paul Millspaugh is a film editor known for his work on the romantic comedy "Two Can Play That Game."
  • 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_69aed9626ebc8190a39de631788bea3e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02919134819080ef36598bb4ca32 completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f3e3794819095659b7b51dfa742 completed March 14, 2026, 3:31 p.m.
NEDg Description generation batch_69b5803a2d00819084bcc4932846473e completed March 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69b580a0be508190b0410d2de905da71 completed March 14, 2026, 3:37 p.m.
Created at: March 9, 2026, 3:44 p.m.