Triple

T5927868
Position Surface form Disambiguated ID Type / Status
Subject John Arbuthnot Fisher E131858 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John Arbuthnot Fisher, a prominent British admiral and naval reformer of the late 19th and early 20th centuries.
E478494 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: John | Statement: [John Arbuthnot Fisher, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Arbuthnot Fisher, givenName, John]
  • A. John
    John is the given name of John H. Hammond Jr., the influential American record producer and talent scout known for discovering and promoting numerous major jazz, blues, and rock musicians.
  • B. John
    John is the given name of John F. Sattler, likely referring to him in a more informal or abbreviated context.
  • C. John
    John II of Aragon was a 15th-century King of Aragon and Navarre whose reign was marked by dynastic conflicts and the consolidation of Spanish territories.
  • D. John
    John is the given name of John B. Watson, the influential American psychologist who founded behaviorism.
  • E. John
    John is the given name of Australian cinematographer John Seale, known for his work on films such as "The English Patient" and "Mad Max: Fury Road."
  • 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: John
Triple: [John Arbuthnot Fisher, givenName, John]
Generated description
John is the given name of John Arbuthnot Fisher, a prominent British admiral and naval reformer of the late 19th and early 20th centuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John Arbuthnot Fisher, a prominent British admiral and naval reformer of the late 19th and early 20th centuries.
  • A. John chosen
    John is the given name of John Arbuthnot Fisher, a prominent British admiral and naval reformer of the late 19th and early 20th centuries.
  • B. John
    John is the given name of John Russell, 1st Earl Russell, a prominent 19th-century British statesman and Prime Minister.
  • C. John
    John is the given name of Sir John Anderson, a British civil servant and politician who played a key role in government during the early 20th century.
  • D. John
    John is the given name of John Rushworth Jellicoe, the British admiral who commanded the Grand Fleet at the Battle of Jutland and later served as First Sea Lord and Governor-General of New Zealand.
  • E. John
    John is the given name of John F. Lehman, a former U.S. Secretary of the Navy and influential defense policy figure.
  • F. None of above.

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_69c0085b75e88190a632f9691f9da48b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0385592b48190a885efb9549d88c7 completed March 22, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c107ee88fc8190a6f633ff168b51ed completed March 23, 2026, 9:29 a.m.
NEDg Description generation batch_69c1090a7bac8190b5b9e003659b4b34 completed March 23, 2026, 9:34 a.m.
NED2 Entity disambiguation (via description) batch_69c10d5102348190a9ec7421b1410a99 completed March 23, 2026, 9:52 a.m.
Created at: March 22, 2026, 4 p.m.