Triple
T14677683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marianne Huber |
E344690
|
entity |
| Predicate | nameInLatinAlphabet |
P22444
|
FINISHED |
| Object | Marianne Huber |
E344690
|
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: Marianne Huber | Statement: [Marianne Huber, nameInLatinAlphabet, Marianne Huber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marianne Huber Context triple: [Marianne Huber, nameInLatinAlphabet, Marianne Huber]
-
A.
Marianne Huber
chosen
Marianne Huber is a person notable enough to be recognized as a significant bearer of the surname Huber, though specific widely known public details about her are not clearly established.
-
B.
Karin Huber
Karin Huber is a person notable enough to be recognized as a significant bearer of the surname Huber.
-
C.
Marianne Sägebrecht
Marianne Sägebrecht is a German actress known for her distinctive character roles in films such as "Sugarbaby" and "Bagdad Café."
-
D.
Johanna Hiedler
Johanna Hiedler was an Austrian woman of the 19th century known primarily as the maternal grandmother of Adolf Hitler.
-
E.
Marianne Willisch
Marianne Willisch is an artist and designer associated with the New Bauhaus movement in Chicago.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb567c2b88190a9639e61b6fba7df |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe968124d481909dd89dd9282788b7 |
completed | May 9, 2026, 2:05 a.m. |
Created at: April 10, 2026, 1:27 a.m.