Triple

T6025813
Position Surface form Disambiguated ID Type / Status
Subject Arthur Whitten Brown E134177 entity
Predicate employer P7 FINISHED
Object Vickers E44162 NE FINISHED

How this triple was built (2 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: Vickers | Statement: [Arthur Whitten Brown, employer, Vickers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vickers
Context triple: [Arthur Whitten Brown, employer, Vickers]
  • A. Vickers
    Vickers is a surname of English origin borne by various notable individuals across fields such as entertainment, industry, and the military.
  • B. Vickers-Armstrongs chosen
    Vickers-Armstrongs was a major British engineering and armaments company best known for producing military aircraft, ships, and tanks during the first half of the 20th century.
  • C. Armstrong Whitworth
    Armstrong Whitworth was a major British engineering and armaments manufacturing company prominent in the late 19th and early 20th centuries, known for producing ships, aircraft, and heavy weaponry.
  • D. Armstrong Siddeley
    Armstrong Siddeley was a British engineering company best known for manufacturing luxury automobiles and aircraft engines in the early to mid-20th century.
  • E. Blackburn Aircraft
    Blackburn Aircraft was a British aircraft manufacturer known for producing military and naval aircraft, particularly for the Royal Navy, during the early to mid-20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0087515148190a97475d412563865 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04fc08c5c819085afab5b18bce4d1 completed March 22, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11375b4448190ad3087b21ac67329 completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:07 p.m.