Triple
T22578138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cory Mo |
E544472
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Paul Wall |
—
|
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: Paul Wall | Statement: [Cory Mo, associatedWith, Paul Wall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Wall Context triple: [Cory Mo, associatedWith, Paul Wall]
-
A.
Paul Wall
chosen
Paul Wall is an American rapper and DJ from Houston, Texas, known for his Southern hip hop style and association with the city’s chopped and screwed scene.
-
B.
Daryl Sabara
Daryl Sabara is an American actor best known for playing Juni Cortez in the Spy Kids film series.
-
C.
Ray Kay
Ray Kay is a Norwegian music video director known for creating visually striking videos for numerous high-profile pop and R&B artists.
-
D.
Jowell
Jowell is a surname most notably associated with British Labour politician Tessa Jowell, who served as a senior government minister in the early 2000s.
-
E.
Krizz Kaliko
Krizz Kaliko is an American rapper, singer, and songwriter known for his versatile vocal style and long-time collaborations within the Strange Music label.
- 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.