Triple
T7609116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walther |
E172186
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Valter |
E174146
|
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: Valter | Statement: [Walther, hasVariant, Valter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valter Context triple: [Walther, hasVariant, Valter]
-
A.
Valter
chosen
Valter is a masculine given name used in various European countries, generally equivalent to the English name Walter.
-
B.
Valentim
Valentim is a given name, primarily used in Portuguese-speaking countries, that corresponds to the variant of the name Valentine.
-
C.
Jost Vacano
Jost Vacano is a German cinematographer renowned for his dynamic, technically innovative work on films such as "Das Boot," "RoboCop," and other major international productions.
-
D.
Dario
Dario is a masculine given name of Italian origin, commonly used in various European and Latin American countries.
-
E.
Ivo
Ivo is a masculine given name, commonly used in various European countries and often derived as a short form of longer Germanic or Slavic names.
- 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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa1f6e888190ac6580724803fbc3 |
completed | March 27, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c868600c7c81909cdeebdb5b2bdaf3 |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:54 p.m.