Triple
T17673905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Volker |
E440595
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Volker |
—
|
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: Volker | Statement: [William Volker, familyName, Volker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volker Context triple: [William Volker, familyName, Volker]
-
A.
Volker
chosen
Volker is a masculine German given name commonly used in German-speaking countries.
-
B.
Günther
Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
-
C.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
-
D.
Jörg
Jörg is a masculine given name of German origin, commonly used in German-speaking countries.
-
E.
Ortwin
Ortwin is the middle name of Carl O. Sauer, a prominent American geographer known for his influential work in cultural and historical geography.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6ba22081909e2099490c047378 |
completed | April 19, 2026, 6 a.m. |
Created at: April 10, 2026, 10 a.m.