Triple
T23241114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Go D.J. |
E581445
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Byron Thomas |
—
|
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: Byron Thomas | Statement: [Go D.J., writer, Byron Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byron Thomas Context triple: [Go D.J., writer, Byron Thomas]
-
A.
Byron Thomas
chosen
Byron Thomas, better known by his stage name Go DJ, is a music writer and DJ recognized for his contributions to contemporary hip-hop and club culture.
-
B.
Byron Otto Thomas
Byron Otto Thomas, better known as Mannie Fresh, is an American hip hop producer and DJ famed for his influential work with Cash Money Records and the Big Tymers.
-
C.
Byron Webster
Byron Webster was a stage actor known for his work in musical theatre, including roles in prominent Broadway productions.
-
D.
Byron Bowers
Byron Bowers is an American stand-up comedian, writer, and actor known for his work in television, film, and comedy specials.
-
E.
Byron Bunch
Byron Bunch is a hardworking, morally upright mill worker in William Faulkner’s novel "Light in August," known for his quiet compassion and unrequited love for Lena Grove.
- 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_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192edd974819093a57456e7b12a03 |
completed | April 29, 2026, 5:11 a.m. |
Created at: April 17, 2026, 4:10 p.m.