Triple
T6882759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Az Yet |
E158838
|
entity |
| Predicate | debutAlbum |
P3278
|
FINISHED |
| Object | Az Yet |
E158838
|
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: Az Yet | Statement: [Az Yet, debutAlbum, Az Yet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Az Yet Context triple: [Az Yet, debutAlbum, Az Yet]
-
A.
Az Yet
chosen
Az Yet is an American R&B vocal group best known for their mid-1990s hits like "Last Night" and their smooth, harmony-driven sound.
-
B.
A Yola Zong
"A Yola Zong" is a notable written work associated with the Yola language and culture of County Wexford, Ireland.
-
C.
Yazgulyam
Yazgulyam is a rare and highly conservative Eastern Iranian language spoken in the Yazgulyam Valley of Tajikistan.
-
D.
Abasıyanık
Abasıyanık is the surname of Sait Faik Abasıyanık, a prominent 20th-century Turkish writer known for his influential short stories and depictions of Istanbul life.
-
E.
Yiğitler
Yiğitler is a small coastal settlement on Avşa Island in Turkey, known for its tranquil beaches and local tourism.
- 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_69c688342f6c8190ad7eea6ba262db99 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8e90c9481908d00634f67fa71f8 |
completed | March 27, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742d00d848190a4bab9800a7e3888 |
completed | March 28, 2026, 2:54 a.m. |
Created at: March 27, 2026, 2:23 p.m.