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.