Triple

T22355604
Position Surface form Disambiguated ID Type / Status
Subject Grumman F9F Cougar E552643 entity
Predicate manufacturer P490 FINISHED
Object Grumman NE NERFINISHED

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: Grumman | Statement: [Grumman F9F Cougar, manufacturer, Grumman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grumman
Context triple: [Grumman F9F Cougar, manufacturer, Grumman]
  • A. Grumman chosen
    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.
  • B. Grumman Studios
    Grumman Studios is a large film and television production facility in Bethpage, New York, known for hosting major live TV events and big-budget shoots.
  • C. 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.
  • D. Lockheed
    Lockheed is a small, purple, dragon-like alien who serves as the loyal companion of the X-Men member Kitty Pryde in Marvel Comics.
  • E. Douglas Aircraft Company
    Douglas Aircraft Company was a major American aerospace manufacturer known for producing influential military and commercial aircraft throughout much of the 20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157cf94508190b0f2c63ddfecb813 completed April 29, 2026, 12:58 a.m.
Created at: April 16, 2026, 8:44 p.m.