Triple
T21721937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don’t Stop (Funkin’ 4 Jamaica) |
E536179
|
entity |
| Predicate | hasWriter |
P4244
|
FINISHED |
| Object | Duro |
—
|
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: Duro | Statement: [Don’t Stop (Funkin’ 4 Jamaica), hasWriter, Duro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duro Context triple: [Don’t Stop (Funkin’ 4 Jamaica), hasWriter, Duro]
-
A.
Duro
Duro is a Core Worlds planet in the Star Wars universe known as the polluted, heavily industrialized home of the Duros species.
-
B.
Duro
chosen
Duro is a music artist known for creating the track featured in the song "Glitter."
-
C.
Dura
"Dura" is a 2018 reggaeton hit single by Puerto Rican artist Daddy Yankee that gained international popularity for its catchy rhythm and danceable beat.
-
D.
Dura
Dura is a central protagonist named in the work "Flux," around whom the story’s main events and character development revolve.
-
E.
Dura
Dura is a Palestinian city in the southern West Bank, located southwest of Hebron and known for its agricultural production and historic significance.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd97032c08190820b87a288e77293 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.