Triple
T14808139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orlando Breakers |
E348095
|
entity |
| Predicate | associatedCharacter |
P12208
|
FINISHED |
| Object | Dauber Dybinski |
E349950
|
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: Dauber Dybinski | Statement: [Orlando Breakers, associatedCharacter, Dauber Dybinski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dauber Dybinski Context triple: [Orlando Breakers, associatedCharacter, Dauber Dybinski]
-
A.
Dauber Dybinski
chosen
Dauber Dybinski is a dim-witted but good-hearted assistant coach character from the American sitcom "Coach."
-
B.
Daniel Dubiecki
Daniel Dubiecki is an American film producer known for his work on acclaimed movies such as "Up in the Air" and other high-profile Hollywood projects.
-
C.
Adam Bielecki
Adam Bielecki is a Polish high-altitude mountaineer renowned for pioneering bold winter ascents in the Himalayas and Karakoram.
-
D.
Ben Wysocki
Ben Wysocki is an American drummer best known as a founding member of the piano-rock band The Fray.
-
E.
Greg Joswiak
Greg Joswiak is a senior Apple executive who serves as the company’s Senior Vice President of Worldwide Marketing.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf33b6a08190ab6a4cfeda2cc09c |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c8bc6881908736c029943997ae |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:44 a.m.