Triple
T4463950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gretchen |
E98327
|
entity |
| Predicate | shortFormOf |
P43
|
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: [Gretchen, shortFormOf, Margarete]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margarete Context triple: [Gretchen, shortFormOf, 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.
Martha Hagen
Martha Hagen is known as the wife of American comedian, actor, and writer Michael Ian Black.
-
C.
Margarete Braun
Margarete Braun is known primarily as the daughter of Franziska Kronberger.
-
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.
Ilse
Ilse is a feminine given name of German origin, commonly used in German-speaking countries and derived from Elisabeth.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3567913788190ac4f28fbe63a4fa9 |
completed | March 13, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6513446f08190b4ab18dffda9060a |
completed | March 15, 2026, 6:27 a.m. |
Created at: March 12, 2026, 11:34 p.m.