Triple
T12454211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangert |
E297611
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Schultes Bangert |
E297613
|
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: Schultes Bangert | Statement: [Bangert, hasNotableBearer, Schultes Bangert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schultes Bangert Context triple: [Bangert, hasNotableBearer, Schultes Bangert]
-
A.
Schultes
chosen
Schultes is a member of the Bangert, Jansen, Scholz, Schultes group, likely a professional or academic collective named after its principal participants.
-
B.
Rattenberg
Rattenberg is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany, known for its rural setting and traditional Bavarian character.
-
C.
Die Bertinis
Die Bertinis is a German television miniseries based on Ralph Giordano’s semi-autobiographical novel about a Jewish-Italian family in Hamburg during the Nazi era.
-
D.
Brechtel
Brechtel is a residential subarea within the Algiers neighborhood of New Orleans, Louisiana.
-
E.
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.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94da0b5988190b9df26dd3bb87337 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f190c788190adceaab8117d52a6 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.