Triple
T8862376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georg-Hans Reinhardt |
E210922
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Georg-Hans |
E210922
|
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: Georg-Hans | Statement: [Georg-Hans Reinhardt, givenName, Georg-Hans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Georg-Hans Context triple: [Georg-Hans Reinhardt, givenName, Georg-Hans]
-
A.
Georg-Hans
chosen
Georg-Hans is the given name of Georg-Hans Reinhardt, a German general who served in the Wehrmacht during World War II.
-
B.
Gerhard
Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
-
C.
Hans-Jürgen
Hans-Jürgen is a masculine German given name, typically used as a compound first name combining "Hans" and "Jürgen."
-
D.
Hans Heinrich
Hans Heinrich was a Swiss-born industrialist and one of the 20th century’s most prominent art collectors, whose collection became the core of Madrid’s Thyssen-Bornemisza Museum.
-
E.
Oskar Hagen
Oskar Hagen was a German art historian and musicologist best known for reviving interest in George Frideric Handel’s operas and helping to establish modern Handel performance traditions.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc610263048190931bb2c3ac573a08 |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab8fef348190a25e978085e8e656 |
completed | April 3, 2026, 11:59 a.m. |
Created at: March 30, 2026, 6:50 p.m.