Triple
T10049060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike City |
E207692
|
entity |
| Predicate | hasCollaboratedWith |
P8554
|
FINISHED |
| Object | Dave Hollister |
E523888
|
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: Dave Hollister | Statement: [Mike City, hasCollaboratedWith, Dave Hollister]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Hollister Context triple: [Mike City, hasCollaboratedWith, 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.
Matt Hulett
Matt Hulett is an American technology and business executive known for leading and scaling multiple software and digital media companies.
-
E.
John Hollar
John Hollar is the anxious, struggling young father-to-be at the center of the 2016 dramedy film "The Hollars," who returns to his small hometown when his mother falls ill.
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf8cf4f0819084d831e1986790be |
completed | April 2, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d62cce008190ae269bbd289625a0 |
completed | April 18, 2026, 12:54 a.m. |
Created at: March 30, 2026, 8:56 p.m.