Triple
T16674000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andy Partridge |
E405171
|
entity |
| Predicate | pseudonym |
P39
|
FINISHED |
| Object |
Sir John Johns
Sir John Johns is a pseudonymous persona used by English musician and XTC frontman Andy Partridge.
|
E1227335
|
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: Sir John Johns | Statement: [Andy Partridge, pseudonym, Sir John Johns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sir John Johns Context triple: [Andy Partridge, pseudonym, Sir John Johns]
-
A.
Sir John Thomas
Sir John Thomas is a distinguished British judge and legal figure who studied at Jesus College, Oxford.
-
B.
Sir John Willison
Sir John Willison was a prominent Canadian journalist and newspaper editor known for his influential role in early 20th-century political and public affairs.
-
C.
Sir John Potts
Sir John Potts was a 17th-century English politician and Parliamentarian who served in the House of Commons during the English Civil War.
-
D.
Sir John Sharp
Sir John Sharp was a British military officer and colonial administrator who notably served as Governor of Portsmouth.
-
E.
Sir John Habakkuk
Sir John Habakkuk was a prominent British economic historian known for his influential work on industrialization, landownership, and economic development in Britain.
- 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: Sir John Johns Triple: [Andy Partridge, pseudonym, Sir John Johns]
Generated description
Sir John Johns is a pseudonymous persona used by English musician and XTC frontman Andy Partridge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sir John Johns Target entity description: Sir John Johns is a pseudonymous persona used by English musician and XTC frontman Andy Partridge.
-
A.
Sir John Thomas
Sir John Thomas is a distinguished British judge and legal figure who studied at Jesus College, Oxford.
-
B.
Sir John Willison
Sir John Willison was a prominent Canadian journalist and newspaper editor known for his influential role in early 20th-century political and public affairs.
-
C.
Sir John Potts
Sir John Potts was a 17th-century English politician and Parliamentarian who served in the House of Commons during the English Civil War.
-
D.
Sir John Sharp
Sir John Sharp was a British military officer and colonial administrator who notably served as Governor of Portsmouth.
-
E.
Sir John Habakkuk
Sir John Habakkuk was a prominent British economic historian known for his influential work on industrialization, landownership, and economic development in Britain.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6904008190a79ab30b6d9ccae9 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3ab8b481908b333b6a556a58d5 |
completed | May 10, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a008ad087b08190b725382c68687a15 |
completed | May 10, 2026, 1:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008ba8227881908b1ac6e30d2e7c32 |
completed | May 10, 2026, 1:44 p.m. |
Created at: April 10, 2026, 5:19 a.m.