Triple
T18612196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans-Werner Hector |
E454921
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Hans-Werner |
—
|
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: Hans-Werner | Statement: [Hans-Werner Hector, hasGivenName, Hans-Werner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hans-Werner Context triple: [Hans-Werner Hector, hasGivenName, Hans-Werner]
-
A.
Hans-Jürgen
Hans-Jürgen is a masculine German given name, typically used as a compound first name combining "Hans" and "Jürgen."
-
B.
Hans-Werner Hector
chosen
Hans-Werner Hector is a German entrepreneur and philanthropist best known as one of the co-founders of the software company SAP.
-
C.
Hans-Dieter
Hans-Dieter is the full given first name of German football coach Hansi Flick.
-
D.
Werner Düttmann
Werner Düttmann was a prominent German architect and urban planner known for shaping postwar Berlin’s modernist architecture and cultural landscape.
-
E.
Hans Waldmann
Hans Waldmann was a 15th-century Swiss military leader and later mayor of Zurich, noted for his prominent role in the Burgundian Wars and his controversial political career that ended in execution.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d01ebd08190b6e646e3a749d7f5 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 10, 2026, 11:45 a.m.