Triple
T21584025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fifty-Sixty (remix) |
E532597
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Fifty-Sixty (remix) |
—
|
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: Fifty-Sixty (remix) | Statement: [Fifty-Sixty (remix), title, Fifty-Sixty (remix)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fifty-Sixty (remix) Context triple: [Fifty-Sixty (remix), title, Fifty-Sixty (remix)]
-
A.
Fifty-Sixty (remix)
chosen
"Fifty-Sixty (remix)" is a reworked version of Alizée’s electro-pop song "Fifty-Sixty," featured on her album *Psychédélices*.
-
B.
Nassau (remix)
"Nassau (remix)" is a remixed track featured on Shakira's album "Las Mujeres Ya No Lloran."
-
C.
Top Back (Remix)
"Top Back (Remix)" is a hip hop remix track by T.I., known for its Southern rap style and association with his mid-2000s commercial peak.
-
D.
People (Remix)
"People (Remix)" is a reworked version of Raphael Saadiq's neo-soul track featured on his album *Instant Vintage*.
-
E.
Sometimes (Remix)
"Sometimes (Remix)" is a remixed track featured on Raphael Saadiq’s retro-soul album *The Way I See It*.
- 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_69e0c4618bec8190bcb0feb74568cbb1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb5f2cc0819095552de70eb2ad8d |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 16, 2026, 6:31 p.m.