Triple
T15280492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Zumstein |
E365254
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Joseph Zumstein |
E365254
|
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: Joseph Zumstein | Statement: [Joseph Zumstein, knownAs, Joseph Zumstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Zumstein Context triple: [Joseph Zumstein, knownAs, Joseph Zumstein]
-
A.
Joseph Zumstein
chosen
Joseph Zumstein was a 19th-century Swiss mountaineer and surveyor known for his pioneering ascents and contributions to Alpine exploration.
-
B.
Matthias Zell
Matthias Zell was a leading early Protestant reformer and preacher in Strasbourg who played a central role in introducing and spreading Reformation ideas in the city.
-
C.
Eric Meyhofer
Eric Meyhofer is a technology executive best known for leading Uber’s self-driving car efforts as head of the Uber Advanced Technologies Group.
-
D.
Justin Kunz
Justin Kunz is an American artist and coin designer known for his work with the U.S. Mint on modern commemorative and circulating coin programs.
-
E.
Joseph Wintergerst
Joseph Wintergerst was a 19th-century German painter and art teacher associated with the Nazarene movement and early Romantic religious art.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e504d8c8190ad6c565a31d1a9bd |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef754c9c8190abdc1d08fd1511cd |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.