Triple
T18129253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wladimir Köppen |
E433965
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Wladimir |
—
|
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: Wladimir | Statement: [Wladimir Köppen, givenName, Wladimir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wladimir Context triple: [Wladimir Köppen, givenName, Wladimir]
-
A.
Vladimir
chosen
Vladimir is a common Russian male given name of Slavic origin, historically associated with rulers and notably borne by Russian president Vladimir Putin.
-
B.
Vladimir
Vladimir is a historic Russian city east of Moscow, known as one of the medieval capitals of Russia and a key center of the Golden Ring.
-
C.
Viktor
Viktor is the given name of Viktor Frankl, the Austrian neurologist, psychiatrist, and Holocaust survivor who founded logotherapy and wrote "Man’s Search for Meaning."
-
D.
Viktor
Viktor is a powerful and ancient vampire elder from the "Underworld" film series, portrayed by actor Bill Nighy.
-
E.
Vladimir Igorevich
Vladimir Igorevich was a medieval Rus' prince from the Sviatoslavichi dynasty associated with the principality of Chernigov.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddf11a74819094e8fe8dae4615bb |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:29 a.m.