Triple
T6376970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exodus |
E143489
|
entity |
| Predicate | featuresArtist |
P1952
|
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: [Exodus, featuresArtist, Denaun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denaun Context triple: [Exodus, featuresArtist, 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.
Dasu
Dasu is a town in Pakistan that serves as the administrative headquarters of Upper Kohistan District in the Hazara region of Khyber Pakhtunkhwa.
-
C.
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.
-
D.
Titin Valley
Titin Valley is a remote valley in Afghanistan notable as one of the primary areas where the Ashkun language is traditionally spoken.
-
E.
Upangas
Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
- 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_69c008d9f4348190ab598a2913259a1c |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0683d7af881908d66d5230e1bfcb6 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62da390c081908690ec716aed8fea |
completed | March 27, 2026, 7:11 a.m. |
Created at: March 22, 2026, 4:33 p.m.