Triple
T22577890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Statik Selektah |
E544463
|
entity |
| Predicate | hasCollaboratedWith |
P8554
|
FINISHED |
| Object | AZ |
—
|
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: AZ | Statement: [Statik Selektah, hasCollaboratedWith, AZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AZ Context triple: [Statik Selektah, hasCollaboratedWith, AZ]
-
A.
AZ
AZ is the official two-letter United States Postal Service abbreviation for the state of Arizona.
-
B.
AZ
chosen
AZ is an American rapper from Brooklyn best known for his intricate lyricism and frequent collaborations with Nas, particularly on the classic album "Illmatic."
-
C.
AZ
AZ is the two-letter ISO 3166-1 alpha-2 country code representing Azerbaijan.
-
D.
AZ
AZ is the Dutch government’s Ministry of General Affairs, responsible for supporting the Prime Minister and coordinating overall government policy.
-
E.
AZ
AZ is the vehicle registration code used for the German town of Alzey in the state of Rhineland-Palatinate.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15feee27c8190b31c923e1f00a363 |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.