Triple
T10595053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamm-Brücher |
E250088
|
entity |
| Predicate | nameComponent |
P5298
|
FINISHED |
| Object | Brücher |
E250088
|
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: Brücher | Statement: [Hamm-Brücher, nameComponent, Brücher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brücher Context triple: [Hamm-Brücher, nameComponent, Brücher]
-
A.
Bruch
Bruch is a German surname most famously associated with the Romantic composer Max Bruch.
-
B.
El Brendel
El Brendel was an American vaudeville and film comedian best known for his faux-Swedish accent and comic relief roles in early Hollywood talkies.
-
C.
Hamm-Brücher
chosen
Hamm-Brücher is the hyphenated surname associated with German politician and liberal education advocate Hildegard Hamm-Brücher.
-
D.
Bruche
Bruche is a river in northeastern France that flows through the Alsace region before joining the Ill River near Strasbourg.
-
E.
Teuchern
Teuchern is a small town and municipality in the German state of Saxony-Anhalt, known for its rural character and location in the historical region of southern Saxony-Anhalt.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5278cbf9081909ef419b0144d5019 |
completed | April 7, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e8de2e88190835954abb2ac2ece |
completed | April 10, 2026, 8:33 p.m. |
Created at: April 6, 2026, 12:41 p.m.