Triple
T9103667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | François Kellermann |
E218420
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kellermann
Kellermann is a French surname most notably associated with François Christophe de Kellermann, a Marshal of France during the Napoleonic era.
|
E777107
|
NE FINISHED |
How this triple was built (4 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: [François Kellermann, familyName, Kellermann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kellermann Context triple: [François Kellermann, familyName, Kellermann]
-
A.
Lützow
Lützow was a German heavy cruiser (originally the pocket battleship Deutschland) that served in the Kriegsmarine during World War II.
-
B.
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.
-
C.
Moltke
Moltke is a small lunar impact crater located on the Moon’s near side near the Apollo 11 landing site in Mare Tranquillitatis.
-
D.
Helmuth
Helmuth is a masculine given name of German origin, historically borne by several notable military and political figures.
-
E.
Oberroth
Oberroth is a small municipality in the district of Neu-Ulm in the Bavarian region of Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kellermann Triple: [François Kellermann, familyName, Kellermann]
Generated description
Kellermann is a French surname most notably associated with François Christophe de Kellermann, a Marshal of France during the Napoleonic era.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kellermann Target entity description: Kellermann is a French surname most notably associated with François Christophe de Kellermann, a Marshal of France during the Napoleonic era.
-
A.
Lützow
Lützow was a German heavy cruiser (originally the pocket battleship Deutschland) that served in the Kriegsmarine during World War II.
-
B.
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.
-
C.
Moltke
Moltke is a small lunar impact crater located on the Moon’s near side near the Apollo 11 landing site in Mare Tranquillitatis.
-
D.
Helmuth
Helmuth is a masculine given name of German origin, historically borne by several notable military and political figures.
-
E.
Oberroth
Oberroth is a small municipality in the district of Neu-Ulm in the Bavarian region of Germany.
- F. None of above. chosen
Provenance (5 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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca56f1f10819091abadf7cd06c3a6 |
completed | April 1, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0183677cc8190b3140278f4c6de9c |
completed | April 3, 2026, 7:42 p.m. |
| NEDg | Description generation | batch_69d0196766248190aebda80cbd7d1eef |
completed | April 3, 2026, 7:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d019d76d2481909118b163ce5713f2 |
completed | April 3, 2026, 7:49 p.m. |
Created at: March 30, 2026, 7:15 p.m.