Triple
T15328968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PRhyme 2 |
E366482
|
entity |
| Predicate | featuresGuestArtist |
P10644
|
FINISHED |
| Object | Denaun |
E342663
|
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: Denaun | Statement: [PRhyme 2, featuresGuestArtist, Denaun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denaun Context triple: [PRhyme 2, featuresGuestArtist, Denaun]
-
A.
Denaun
chosen
Denaun is an American rapper and record producer best known as Mr. Porter, a longtime member of D12 and frequent collaborator with Eminem.
-
B.
Larat
Larat is one of the islands in Indonesia’s Tanimbar archipelago, located in the Maluku province.
-
C.
Dasu
Dasu is a town in Pakistan that serves as the administrative headquarters of Upper Kohistan District in the Hazara region of Khyber Pakhtunkhwa.
-
D.
Yamdena
Yamdena is the principal and largest island of Indonesia’s Tanimbar archipelago in the Maluku province, known for its remote location and traditional Austronesian cultures.
-
E.
Kulu
Kulu is a district and town in Turkey’s Central Anatolia region, known for its large expatriate community and strong ties to Europe, especially Sweden.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dffd6f88190a0f031ee90c6a7d2 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01ecb904819082454622dcd77556 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:16 a.m.