Triple
T22620840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jon Miller |
E558273
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jon Miller |
—
|
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: Jon Miller | Statement: [Jon Miller, name, Jon Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Miller Context triple: [Jon Miller, name, Jon Miller]
-
A.
Jon Miller
Jon Miller is an American bassist best known as a founding member and longtime bassist of the groove metal band DevilDriver.
-
B.
Jon Miller
Jon Miller is an acclaimed American sportscaster best known as a longtime Major League Baseball play-by-play announcer, particularly for ESPN and the San Francisco Giants.
-
C.
Ken Miller
Ken Miller is a laid-back, sarcastic high school student and one of the core "freak" friends in the cult TV series *Freaks and Geeks*.
-
D.
Neil Miller
Neil Miller is a skeptical psychiatrist and the stepfather figure who provides comic tension and emotional contrast in the Christmas film "The Santa Clause."
-
E.
Ian Miller
Ian Miller is the non-Greek schoolteacher who marries Toula Portokalos and navigates her exuberant Greek-American family in the romantic comedy film "My Big Fat Greek Wedding."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e39959481909e0ae67379435f95 |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 3 p.m.