Triple
T15889068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wiebe |
E385267
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object | Wibe |
E79780
|
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: Wibe | Statement: [Wiebe, hasVariantForm, Wibe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wibe Context triple: [Wiebe, hasVariantForm, Wibe]
-
A.
Wybe
chosen
Wybe is the given first name of the renowned Dutch computer scientist Edsger W. Dijkstra.
-
B.
Wieber
Wieber is the surname of American artistic gymnast Jordyn Wieber, a 2012 Olympic gold medalist and 2011 world all-around champion.
-
C.
Warnabi
Warnabi were a West Slavic tribe that formed part of the medieval Obotrite tribal confederation in the region of present-day northeastern Germany.
-
D.
Wusse
Wusse is a small settlement in the German state of Mecklenburg-Vorpommern that serves as the administrative seat of the municipality of Ummanz.
-
E.
Wicki
Wicki is a surname most notably associated with Bernhard Wicki, the Austrian-Swiss film director and actor known for his influential anti-war films.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1561d5c28819094c3541d917a4433 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb04598e0819094274868941195b9 |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.