Triple
T12365386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Songs About Girls |
E294848
|
entity |
| Predicate | hasProducer |
P30366
|
FINISHED |
| Object | Kole |
E294848
|
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: Kole | Statement: [Songs About Girls, hasProducer, Kole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kole Context triple: [Songs About Girls, hasProducer, Kole]
-
A.
Kole
chosen
Kole is a music producer known for working on the album "Songs About Girls."
-
B.
Kol
Kol is a Hebrew surname most notably associated with Moshe Kol, an Israeli politician and one of the signatories of Israel’s Declaration of Independence.
-
C.
Kols
Kols are an indigenous tribal community of central India, primarily residing in the state of Madhya Pradesh and known for their distinct cultural traditions and close association with forest and agrarian livelihoods.
-
D.
Kaolie
Kaolie was a monarch of the ancient Chinese state of Chu during the Warring States period, remembered primarily through historical records that preserve his posthumous title.
-
E.
Kedzie
Kedzie is a Chicago Transit Authority rapid transit station on the Pink Line serving the city's West Side.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa3f958819080555bcae9958a53 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62abbaaec8190b388d9dff999da8d |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:54 p.m.