Triple
T9315719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Darré |
E224113
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Walther |
E172186
|
NE FINISHED |
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: Walther | Statement: [Walter Darré, givenName, Walther]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walther Context triple: [Walter Darré, givenName, Walther]
-
A.
Walther
chosen
Walther is a given name and surname of Germanic origin, commonly used in German-speaking countries and occasionally in other parts of Europe.
-
B.
Walther Model
Walther Model was a prominent German field marshal of World War II, noted for his defensive expertise and leadership on the Eastern Front.
-
C.
Luger
Luger is a Swedish concert and festival promotion company known for organizing major music events and tours, including prominent festivals.
-
D.
Mauser HSc pistol
The Mauser HSc pistol is a compact German semi-automatic handgun introduced during World War II, notable for its streamlined design and use by both military and police forces.
-
E.
Speer
Speer is a German surname most famously associated with Albert Speer, the Nazi architect and Minister of Armaments and War Production during World War II.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd358846e48190a8aacfab19d88ae7 |
completed | April 1, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7acba54819086da668f234321de |
completed | April 4, 2026, 8:11 a.m. |
Created at: March 30, 2026, 7:37 p.m.