Triple
T19270096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Kellermann |
E481898
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Kellermann |
—
|
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: Kellermann | Statement: [de Kellermann, hasFamilyName, Kellermann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kellermann Context triple: [de Kellermann, hasFamilyName, Kellermann]
-
A.
Kellermann
chosen
Kellermann is a French surname most notably associated with François Christophe de Kellermann, a Marshal of France during the Napoleonic era.
-
B.
Lützow
Lützow was a German heavy cruiser (originally the pocket battleship Deutschland) that served in the Kriegsmarine during World War II.
-
C.
Lützow
Lützow is a municipality in the district of Nordwestmecklenburg in the northern German state of Mecklenburg-Vorpommern.
-
D.
Langsdorff
Langsdorff is a German surname most notably associated with Hans Langsdorff, the captain of the World War II German pocket battleship Admiral Graf Spee.
-
E.
Colonel Ehrhardt
Colonel Ehrhardt is a bumbling, self-important Nazi officer who serves as a key comic antagonist in the World War II satire film "To Be or Not to Be."
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbb74ec48190a58d96b4b5b9af00 |
completed | April 20, 2026, 10:11 a.m. |
Created at: April 10, 2026, 1:29 p.m.