Triple
T8761722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans-Jürgen |
E208215
|
entity |
| Predicate | variantSpelling |
P457
|
FINISHED |
| Object | Hans-Juergen |
E208215
|
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: Hans-Juergen | Statement: [Hans-Jürgen, variantSpelling, Hans-Juergen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hans-Juergen Context triple: [Hans-Jürgen, variantSpelling, Hans-Juergen]
-
A.
Hans-Jürgen
chosen
Hans-Jürgen is a masculine German given name, typically used as a compound first name combining "Hans" and "Jürgen."
-
B.
Hans-Dieter
Hans-Dieter is the full given first name of German football coach Hansi Flick.
-
C.
Hans Schmidt
Hans Schmidt is a common German personal name shared by numerous individuals across fields such as sports, politics, and the arts.
-
D.
Hans Weiss
Hans Weiss is a relatively common German personal name shared by multiple individuals, including figures in fields such as literature, journalism, and the arts.
-
E.
Konrad Haase
Konrad Haase was a German military officer who commanded defending forces during the World War II Dieppe Raid in 1942.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dfa9d6c81908c4c6b3a6f84f67d |
completed | March 31, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf5197263881908038b5e2105e9170 |
completed | April 3, 2026, 5:35 a.m. |
Created at: March 30, 2026, 6:40 p.m.