Triple
T21256730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave Hollister |
E523888
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dave Hollister |
—
|
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: Dave Hollister | Statement: [Dave Hollister, name, Dave Hollister]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Hollister Context triple: [Dave Hollister, name, Dave Hollister]
-
A.
Dave Hollister
chosen
Dave Hollister is an American R&B singer and songwriter known both for his solo work and as a former member of the influential 1990s group Blackstreet.
-
B.
Kyle Hollingsworth
Kyle Hollingsworth is an American keyboardist and composer best known as a longtime member of the jam band The String Cheese Incident.
-
C.
Mark Holbrook
Mark Holbrook is a notable individual whose prominence has led to his recognition as a distinguished bearer of the Holbrook surname.
-
D.
Greg Hollimon
Greg Hollimon is an American actor and comedian best known for playing the pompous high school principal Steven Jellineck on the cult television series "Strangers with Candy."
-
E.
Matt Hulett
Matt Hulett is an American technology and business executive known for leading and scaling multiple software and digital media companies.
- 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735a1f9e08190b494f582bcae5c35 |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 3:58 p.m.