Triple
T18877420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douglas DC-3 |
E461722
|
entity |
| Predicate | nicknamed |
P744
|
FINISHED |
| Object | Gooney Bird |
—
|
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: Gooney Bird | Statement: [Douglas DC-3, nicknamed, Gooney Bird]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gooney Bird Context triple: [Douglas DC-3, nicknamed, 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 (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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3cf0aa0819090991fc9e14910fb |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 10, 2026, 11:57 a.m.