Triple

T16902294
Position Surface form Disambiguated ID Type / Status
Subject Gooney Bird E424466 entity
Predicate alsoKnownAs P39 FINISHED
Object Gooney Bird E424466 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: Gooney Bird | Statement: [Gooney Bird, alsoKnownAs, Gooney Bird]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gooney Bird
Context triple: [Gooney Bird, alsoKnownAs, Gooney Bird]
  • A. Gooney Bird chosen
    The Gooney Bird is the affectionate nickname for the Douglas C-47 Skytrain, a rugged and widely used military transport aircraft from World War II.
  • B. Wingo
    Wingo is a Colombian low-cost airline operating domestic and international flights across Latin America and the Caribbean.
  • C. Tin Goose
    Tin Goose is the popular nickname for the Ford Trimotor, an early all-metal American passenger and cargo aircraft widely used in the late 1920s and early 1930s.
  • D. Sandy the Seagull
    Sandy the Seagull is the costumed seagull mascot of the Brooklyn Cyclones minor league baseball team, known for entertaining fans at their games in Coney Island.
  • E. Red Bird
    Red Bird is a residential and commercial neighborhood in the southwest area of Dallas, Texas.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8dd2bf08190b1dc099e8a23cd04 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7b47a6081909d8609c2bce96d1a completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:30 a.m.