Triple
T20035396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Incognegro |
E497243
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Mat Johnson |
—
|
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: Mat Johnson | Statement: [Incognegro, writer, Mat Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mat Johnson Context triple: [Incognegro, writer, Mat Johnson]
-
A.
Mat Johnson
chosen
Mat Johnson is an American novelist, comic book writer, and essayist known for his satirical explorations of race, identity, and American culture.
-
B.
Max Johnson
Max Johnson is the child of Brad Johnson.
-
C.
Christopher Johnson
Christopher Johnson is the intelligent and resourceful alien "prawn" who leads the effort to escape Earth in the science fiction film District 9.
-
D.
Christopher Johnson
Christopher Johnson is an American businessman and member of the Johnson family who serves as a principal owner and executive of the New York Jets NFL franchise.
-
E.
Rob Johnson
Rob Johnson is a former Rutgers University men's soccer standout recognized as a notable alumnus of the program.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662e76f8481909c006921cbbfd060 |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:36 p.m.