Triple
T5033303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margareta |
E113357
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Margarete |
E443674
|
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: Margarete | Statement: [Margareta, hasVariant, Margarete]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margarete Context triple: [Margareta, hasVariant, Margarete]
-
A.
Margarete
chosen
Margarete is a female given name of Greek origin, commonly associated with the meaning "pearl" and used in various European languages.
-
B.
Margarethe
"Margarethe" is a major painting by German artist Anselm Kiefer that reflects on German history and memory, often interpreted in relation to the Holocaust and cultural guilt.
-
C.
Elfriede
Elfriede is a feminine given name of German origin, notably borne by Austrian Nobel Prize–winning writer Elfriede Jelinek.
-
D.
Martha Hagen
Martha Hagen is known as the wife of American comedian, actor, and writer Michael Ian Black.
-
E.
Margarete Braun
Margarete Braun is known primarily as the daughter of Franziska Kronberger.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73b68d8c8190b8e04fb406abdb0f |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c71b2f081908c5c4c1d9ba1ccf4 |
completed | March 21, 2026, 1:26 p.m. |
Created at: March 20, 2026, 1:36 p.m.