Triple
T19584870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Hot Minute |
E490082
|
entity |
| Predicate | single |
P3283
|
FINISHED |
| Object | Aeroplane |
—
|
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: Aeroplane | Statement: [One Hot Minute, single, Aeroplane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aeroplane Context triple: [One Hot Minute, single, Aeroplane]
-
A.
Aeroplane
chosen
"Aeroplane" is a song by the American rock band Red Hot Chili Peppers, known for its funk-rock style and appearance on their 1995 album "One Hot Minute."
-
B.
Airlane
"Airlane" is an instrumental electronic track by Gary Numan, featured on his 1979 album *The Pleasure Principle*.
-
C.
Aerei
Aerei is a conceptual artwork series by Italian artist Alighiero Boetti featuring intricate maps of the world overlaid with numerous airplanes in flight.
-
D.
Avion
Avion is a commune in the Pas-de-Calais department in northern France.
-
E.
Aeroplan
Aeroplan is Air Canada's loyalty program that allows members to earn and redeem points for flights, upgrades, and other travel-related rewards.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64050127c8190b93b8716a1a4ad81 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.