Triple
T23468578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gene Mauch |
E569163
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mauch |
—
|
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: Mauch | Statement: [Gene Mauch, familyName, Mauch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mauch Context triple: [Gene Mauch, familyName, Mauch]
-
A.
Mauch
chosen
Mauch is a surname most notably borne by Corine Mauch, the long-serving mayor of Zurich, Switzerland.
-
B.
Mauchen
Mauchen is a small village and district within the town of Stühlingen in the state of Baden-Württemberg, Germany.
-
C.
Geltow
Geltow is a village in the German state of Brandenburg, known as a district of the municipality Schwielowsee near Potsdam.
-
D.
Berdan
Berdan is a surname most notably associated with Hiram Berdan, a 19th-century American military officer, engineer, and inventor known for pioneering sharpshooter units during the Civil War.
-
E.
Willich
Willich is a town in the German state of North Rhine-Westphalia, situated in the Lower Rhine region near the city of Krefeld.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6fd280c81908aae05f0851466eb |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 5:54 p.m.