Triple
T16696152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordan Terrell Carter |
E405720
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | AWGE |
E405734
|
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: AWGE | Statement: [Jordan Terrell Carter, recordLabel, AWGE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AWGE Context triple: [Jordan Terrell Carter, recordLabel, AWGE]
-
A.
AWGE
chosen
AWGE is a creative collective and record label founded by A$AP Rocky, known for its work in music, fashion, and visual art within the hip-hop scene.
-
B.
WGE
WGE is the abbreviation for the Working Group on Evaluations and Compliance, a body focused on assessing and ensuring adherence to established standards or agreements.
-
C.
AWAE
AWAE (Advanced Web Attacks and Exploitation) is an advanced web application penetration testing and exploitation course focused on teaching in-depth offensive security techniques to experienced security professionals.
-
D.
WAE
WAE is the National Rail station code for Waterloo East railway station in London, England.
-
E.
WAE
WAE is the IATA airport code for Wadi ad-Dawasir Domestic Airport serving the town of Wadi ad-Dawasir in Saudi Arabia.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eadc35881909fb0cc405a0e2fae |
completed | April 18, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00919d02088190acecb1a62a100255 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.