Triple
T3914643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walther Model |
E88805
|
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: [Walther Model, givenName, Walther]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walther Context triple: [Walther Model, 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.
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.
-
D.
Lewis gun
The Lewis gun is a distinctive World War I–era air-cooled, drum-fed light machine gun widely used by British and Commonwealth forces in infantry and aircraft roles.
-
E.
Mauser
Mauser is a historic German arms manufacturer renowned for its influential bolt-action rifles and other military firearms.
- 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_69aed955229881909e85e73ffab1d343 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed3a0d4c8190bb952d920b054a7f |
completed | March 9, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b528606ef88190a06ab8073d1df945 |
completed | March 14, 2026, 9:20 a.m. |
Created at: March 9, 2026, 3:22 p.m.