Triple
T18417007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonio Dixon |
E441918
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | No Air |
—
|
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: No Air | Statement: [Antonio Dixon, notableWork, No Air]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: No Air Context triple: [Antonio Dixon, notableWork, No Air]
-
A.
No Air
chosen
"No Air" is a 2007 pop and R&B duet by Jordin Sparks and Chris Brown that became a major international hit known for its powerful vocals and emotional lyrics.
-
B.
No Nose
No Nose was the nickname of John DiFronzo, a prominent Chicago mob boss and reputed leader of the Chicago Outfit.
-
C.
In the Air
"In the Air" is a song by the English rock band VII, featured as one of the tracks on their album.
-
D.
In the Air
"In the Air" is a dreamy, atmospheric song by the American indie pop duo Beach House, known for its lush synths and ethereal vocals.
-
E.
L’Air
L’Air is a celebrated early 20th-century sculpture by Aristide Maillol that exemplifies his serene, classical approach to the female form.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a284b608190b77c360a72aceb7a |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.