Triple
T23193297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wenzelia |
E579805
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Wenzel (surname) |
—
|
NE NERFINISHED |
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: Wenzel (surname) | Statement: [Wenzelia, namedAfter, Wenzel (surname)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wenzel (surname) Context triple: [Wenzelia, namedAfter, Wenzel (surname)]
-
A.
Wenzel
chosen
Wenzel is a masculine given name of Germanic origin, historically borne by several Central European nobles and statesmen.
-
B.
Zoettl
Zoettl is the surname of Brother Joseph Zoettl, a Benedictine monk known for creating the Ave Maria Grotto in Alabama.
-
C.
Wenz
Wenz is a surname variant of Wentz, typically of German origin.
-
D.
Bolz family
The Bolz family is a prominent philanthropic family recognized for their significant contributions to civic and cultural institutions in Madison, Wisconsin.
-
E.
Zuehl
Zuehl is an unincorporated community in Texas, United States, known for its rural character and small-town atmosphere.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd971d08190a132d24094e0c37b |
completed | April 29, 2026, 4:58 a.m. |
Created at: April 17, 2026, 4:06 p.m.