Triple
T12412988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elfriede Geiringer |
E296564
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Elfriede |
E474491
|
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: Elfriede | Statement: [Elfriede Geiringer, givenName, Elfriede]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elfriede Context triple: [Elfriede Geiringer, givenName, Elfriede]
-
A.
Elfriede
chosen
Elfriede is a feminine given name of German origin, notably borne by Austrian Nobel Prize–winning writer Elfriede Jelinek.
-
B.
Margarete
Margarete is a female given name of Greek origin, commonly associated with the meaning "pearl" and used in various European languages.
-
C.
Franziska
Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
-
D.
Dorothee
Dorothee is a feminine given name, commonly used in German- and French-speaking countries, that is a variant of the name Dorothea.
-
E.
Frau Frieda
Frau Frieda is the traditional costumed mascot of the Kitchener-Waterloo Oktoberfest, symbolizing the festival’s German heritage and festive spirit.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d6b0f9c8190813b6fe3f97570ac |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6348ccaf88190aeb0dfb7fe1d8dec |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.