Triple
T1512909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter |
E32053
|
entity |
| Predicate | hasAlternativeSpelling |
P457
|
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: [Walter, hasAlternativeSpelling, Valter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valter Context triple: [Walter, hasAlternativeSpelling, Valter]
-
A.
Valter
chosen
Valter is a masculine given name used in various European countries, generally equivalent to the English name Walter.
-
B.
Wido
Wido is a given name that functions as a variant form of the name Guido, used in various European languages.
-
C.
Paolo
Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
-
D.
Wallach
Wallach is a surname and given name of Germanic origin, historically associated with Central and Eastern Europe and borne by various notable figures in arts, science, and public life.
-
E.
Victor Contamin
Victor Contamin was a 19th-century French structural engineer renowned for his pioneering work with iron and glass architecture, notably in major exhibition halls.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907d7cbf48190be40590a7f9fa1de |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad308dba548190b81999135210cc96 |
completed | March 8, 2026, 8:17 a.m. |
Created at: March 4, 2026, 7:26 p.m.