Triple
T12341845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konrad Zuse |
E294244
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Konrad |
E60724
|
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: Konrad | Statement: [Konrad Zuse, givenName, Konrad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konrad Context triple: [Konrad Zuse, givenName, Konrad]
-
A.
Konrad
chosen
Konrad is a masculine given name of German origin, historically borne by several notable figures including statesmen, nobles, and religious leaders.
-
B.
Kornelius
Kornelius is a masculine given name, commonly used in various European languages as a form of Cornelius.
-
C.
Konrad Hunn
Konrad Hunn was a medieval military leader known for his role commanding forces at the Battle of Morgarten, a key early victory for the Swiss Confederation.
-
D.
Conrad the Peaceful
Conrad the Peaceful was a 10th-century King of Burgundy who later became King of Italy and Holy Roman Emperor, noted for his relatively tranquil and conciliatory reign.
-
E.
Erwin
Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7758dc8190bbc6a9ad00b01dce |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aaa1d548190be065412aab70385 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.