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.