Triple

T19558790
Position Surface form Disambiguated ID Type / Status
Subject John de Havilland E489386 entity
Predicate givenName P17 FINISHED
Object John
John de Havilland was a British test pilot known for his work with the de Havilland Aircraft Company and for being part of the prominent de Havilland aviation family.
E1385016 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 de Havilland, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John de Havilland, givenName, John]
  • A. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • B. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • C. John
    John is the middle name of Samuel John Mills, an American Congregationalist minister known for his role in early 19th-century missionary movements.
  • D. John
    John is the given name of the English jurist and scholar John Selden, a prominent 17th-century authority on law and constitutional history.
  • E. John
    John is the given first name of Australian actor Chips Rafferty, a prominent figure in mid-20th-century Australian cinema.
  • 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 de Havilland, givenName, John]
Generated description
John de Havilland was a British test pilot known for his work with the de Havilland Aircraft Company and for being part of the prominent de Havilland aviation family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John de Havilland was a British test pilot known for his work with the de Havilland Aircraft Company and for being part of the prominent de Havilland aviation family.
  • A. John
    John Alcock was a British aviator best known for making the first non-stop transatlantic flight in 1919 alongside Arthur Whitten Brown.
  • B. John
    John is the given first name of Jack Northrop, the pioneering American aircraft industrialist and designer.
  • C. John
    John is the given first name of British racing driver Mike Hawthorn, the 1958 Formula One World Drivers' Champion.
  • D. John
    John is the given name of Sir John Aird, a prominent British civil engineer and contractor known for major infrastructure projects in the late 19th and early 20th centuries.
  • E. John
    John is the given name of John Logie Baird, the Scottish engineer and inventor who pioneered the development of television.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f723d5081909553a4363b579a6b completed April 20, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075f06fa588190bbc15c30137d3379 completed May 15, 2026, 5:59 p.m.
NEDg Description generation batch_6a075ffcabec8190989b563b0734e086 completed May 15, 2026, 6:03 p.m.
NED2 Entity disambiguation (via description) batch_6a076070784c81908d28306344363c53 completed May 15, 2026, 6:05 p.m.
Created at: April 10, 2026, 1:42 p.m.