Triple
T20267351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G3 |
E499002
|
entity |
| Predicate | notableParticipant |
P6467
|
FINISHED |
| Object | Uli Jon Roth |
—
|
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: Uli Jon Roth | Statement: [G3, notableParticipant, Uli Jon Roth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uli Jon Roth Context triple: [G3, notableParticipant, Uli Jon Roth]
-
A.
Uli Jon Roth
chosen
Uli Jon Roth is a German guitarist and composer renowned as a pioneering figure of neo-classical metal and for his influential early work with the Scorpions.
-
B.
Michael Schenker
Michael Schenker is a German rock and heavy metal guitarist best known for his influential work with UFO, Scorpions, and the Michael Schenker Group.
-
C.
Randy Rhoads
Randy Rhoads was a highly influential American heavy metal guitarist best known for his virtuosic work with Ozzy Osbourne and Quiet Riot in the late 1970s and early 1980s.
-
D.
Dan Halen
Dan Halen is an American musician best known as the former partner of model and actress Mia Tyler.
-
E.
Dan Halen
Dan Halen is a recurring character on the animated series "Squidbillies," portrayed as a corrupt, wealthy businessman who frequently exploits the show's rural community.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674d001f081908910eedd262ae13a |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:42 p.m.