Triple
T22015163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashanti |
E543688
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | What’s Luv? |
—
|
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: What’s Luv? | Statement: [Ashanti, notableWork, What’s Luv?]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: What’s Luv? Context triple: [Ashanti, notableWork, What’s Luv?]
-
A.
What's Luv?
chosen
"What's Luv?" is a 2002 hip hop and R&B single by Fat Joe featuring Ashanti (and Ja Rule on some versions), known for its catchy hook and commercial success.
-
B.
Luv
Luv is a 2012 American crime drama film about an ex-con trying to mentor his young nephew during a day that spirals into violence and moral conflict.
-
C.
Luv
Luv is a ruthless and highly skilled replicant enforcer who serves as Niander Wallace’s coldly efficient right hand in Blade Runner 2049.
-
D.
Luv
"Luv" is a dancehall-infused R&B single by Canadian rapper and singer Tory Lanez that helped elevate his mainstream popularity.
-
E.
Luv (song)
"Luv" is a song by American singer Janet Jackson, released from her 2008 album "Discipline" and blending R&B and pop with playful, romantic themes.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a774548190bcd98dc28f2d2c5f |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:22 p.m.