Triple
T9272168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niklaus Wirth |
E222855
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wirth |
E168959
|
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: Wirth | Statement: [Niklaus Wirth, familyName, Wirth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wirth Context triple: [Niklaus Wirth, familyName, Wirth]
-
A.
Wirth
chosen
Wirth is a Swiss surname most notably associated with computer scientist Niklaus Wirth, the designer of several influential programming languages.
-
B.
Wieser
Wieser is a German-language surname most notably associated with Austrian economist Friedrich von Wieser, a key figure of the Austrian School of economics.
-
C.
Wüthrich
Wüthrich is a Swiss surname most notably associated with Nobel Prize–winning chemist Kurt Wüthrich.
-
D.
Wesselmann
Wesselmann is a surname most notably associated with Tom Wesselmann, a prominent American Pop Art painter known for his bold, stylized depictions of the nude and everyday consumer objects.
-
E.
Wolffsohn
Wolffsohn is a Jewish-German surname most notably associated with David Wolffsohn, a prominent Zionist leader and successor to Theodor Herzl as head of the World Zionist Organization.
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0787d2e48190ad56cf3abf12d409 |
completed | April 1, 2026, 11:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09c355e7c819083a0101c763abd98 |
completed | April 4, 2026, 5:05 a.m. |
Created at: March 30, 2026, 7:33 p.m.