Triple
T19994590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aziatic |
E494157
|
entity |
| Predicate | featuredArtist |
P997
|
FINISHED |
| Object | Amil |
—
|
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: Amil | Statement: [Aziatic, featuredArtist, Amil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amil Context triple: [Aziatic, featuredArtist, Amil]
-
A.
Amil
chosen
Amil is an American rapper best known for her late-1990s work with Jay-Z and Roc-A-Fella Records, including her standout appearance on the hit single "Can I Get A...".
-
B.
Amlash
Amlash is a city in northern Iran known for its location in the lush, Caspian coastal region of Gilan Province.
-
C.
Amed
Amed is the historical name of the city now known as Diyarbakır, a major cultural and political center in southeastern Turkey, especially significant for Kurdish heritage.
-
D.
Amed
Amed is a coastal fishing village and popular diving and snorkeling destination in eastern Bali, Indonesia, known for its black sand beaches and coral reefs.
-
E.
Amay
Amay is a municipality in the Walloon Region of Belgium, located in the province of Liège along the Meuse River.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe306548190a6924ce3798a4d3d |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:31 p.m.