Triple
T16677752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taalib Johnson |
E405256
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Luvanmusiq |
E405276
|
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: Luvanmusiq | Statement: [Taalib Johnson, notableWork, Luvanmusiq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luvanmusiq Context triple: [Taalib Johnson, notableWork, Luvanmusiq]
-
A.
Luvanmusiq
chosen
Luvanmusiq is an R&B album by Musiq Soulchild that showcases his smooth, soulful style and contemporary love-themed songwriting.
-
B.
Løten
Løten is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and historic connections to painter Edvard Munch.
-
C.
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.
-
D.
Luv
Luv is a ruthless and highly skilled replicant enforcer who serves as Niander Wallace’s coldly efficient right hand in Blade Runner 2049.
-
E.
Luv
"Luv" is a dancehall-infused R&B single by Canadian rapper and singer Tory Lanez that helped elevate his mainstream popularity.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6c805c81909fbe4fcb20eedbe1 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3e2ddc8190a59108cdf001dac2 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.