Triple
T17464898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Me |
E425248
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Number One |
—
|
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: Number One | Statement: [Queen of Me, hasTrack, Number One]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Number One Context triple: [Queen of Me, hasTrack, Number One]
-
A.
Number One
"Number One" is a hit Bongo Flava song by Tanzanian artist Diamond Platnumz that significantly boosted his popularity across East Africa.
-
B.
Number One
Number One is the composed and highly capable first officer of the USS Enterprise in the Star Trek universe, originally introduced in the 1960s pilot and later portrayed by Rebecca Romijn in modern series.
-
C.
Number One
chosen
"Number One" is a song by John Legend from his debut studio album "Get Lifted."
-
D.
Number One
Number One is the Balmoral Hotel’s acclaimed fine-dining restaurant in Edinburgh, known for its refined Scottish cuisine and elegant setting.
-
E.
Lookin’ Out for Number One
"Lookin’ Out for Number One" is a song by the Canadian rock band One to One.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a6c2e08190bca9de56ee2f5136 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.