Triple

T6640442
Position Surface form Disambiguated ID Type / Status
Subject Vought F4U Corsair E150573 entity
Predicate manufacturer P490 FINISHED
Object Vought
Vought was an American aerospace manufacturer best known for producing military aircraft such as the F4U Corsair.
E599046 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: Vought | Statement: [Vought F4U Corsair, manufacturer, Vought]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vought
Context triple: [Vought F4U Corsair, manufacturer, Vought]
  • A. Vought
    Vought is a surname most notably associated with Russell Vought, an American political figure who served as Director of the U.S. Office of Management and Budget.
  • B. Northrop
    Northrop is a major American aerospace and defense company known for designing and producing advanced military aircraft and related technologies.
  • C. Grumman
    Grumman was a major American aerospace and defense company best known for designing and building military and naval aircraft, including several iconic U.S. Navy fighters.
  • D. Folland Aircraft
    Folland Aircraft was a British aircraft manufacturer best known for producing light fighter and trainer aircraft in the post-World War II era.
  • E. Convair
    Convair was a major American aerospace and defense contractor known for producing military aircraft, airliners, and early space launch vehicles during the mid-20th century.
  • 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: Vought
Triple: [Vought F4U Corsair, manufacturer, Vought]
Generated description
Vought was an American aerospace manufacturer best known for producing military aircraft such as the F4U Corsair.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vought
Target entity description: Vought was an American aerospace manufacturer best known for producing military aircraft such as the F4U Corsair.
  • A. Vought
    Vought is a surname most notably associated with Russell Vought, an American political figure who served as Director of the U.S. Office of Management and Budget.
  • B. Northrop
    Northrop is a major American aerospace and defense company known for designing and producing advanced military aircraft and related technologies.
  • C. Grumman
    Grumman was a major American aerospace and defense company best known for designing and building military and naval aircraft, including several iconic U.S. Navy fighters.
  • D. Folland Aircraft
    Folland Aircraft was a British aircraft manufacturer best known for producing light fighter and trainer aircraft in the post-World War II era.
  • E. Convair
    Convair was a major American aerospace and defense contractor known for producing military aircraft, airliners, and early space launch vehicles during the mid-20th century.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aff42c748190b818cf55f83647cb completed March 27, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbf71874819080cc89b6740b1567 completed March 27, 2026, 6:27 p.m.
NEDg Description generation batch_69c6cd0bb0e48190ae51fde4b4631f65 completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cd90b9208190b4c5bf44db073314 completed March 27, 2026, 6:33 p.m.
Created at: March 27, 2026, 2 p.m.