Triple
T5086122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B.o.B |
E114640
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Airplanes |
E491371
|
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: Airplanes | Statement: [B.o.B, notableSingle, Airplanes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Airplanes Context triple: [B.o.B, notableSingle, Airplanes]
-
A.
Airplanes
chosen
"Airplanes" is a popular 2010 hip hop/pop song by B.o.B featuring Hayley Williams, known for its introspective lyrics about fame and the wish to escape through imagined wishes.
-
B.
Aviation
Aviation is a classic gin-based cocktail typically made with maraschino liqueur, lemon juice, and sometimes crème de violette, known for its pale bluish hue and floral, citrusy flavor.
-
C.
Aeronautics
Aeronautics is Lockheed Martin’s major business segment focused on designing, developing, and producing military and civilian aircraft and related aerospace technologies.
-
D.
Avion
Avion is a commune in the Pas-de-Calais department in northern France.
-
E.
Aero
Aero is a high-performance, sport-oriented trim level used by Saab for its 9-3 and other models, typically featuring more powerful engines and upgraded equipment.
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd751db4f4819088b998d7af0e6f41 |
completed | March 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba6f3eb48190b544bf743829cb0c |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:40 p.m.