Triple
T2842315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johann van Beethoven |
E62496
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Maria Magdalena Keverich |
E67733
|
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: Maria Magdalena Keverich | Statement: [Johann van Beethoven, relative, Maria Magdalena Keverich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria Magdalena Keverich Context triple: [Johann van Beethoven, relative, Maria Magdalena Keverich]
-
A.
Maria Magdalena Keverich
chosen
Maria Magdalena Keverich was a German woman best known as the mother of the composer Ludwig van Beethoven.
-
B.
Cecilia Krull
Cecilia Krull is a Spanish singer best known for performing the iconic theme song "My Life Is Going On" from the television series Money Heist.
-
C.
Magdalene Shaw
Magdalene Shaw is a sharp-witted, tough matriarch and career criminal in the Fast & Furious franchise, known as the mother of Deckard and Owen Shaw.
-
D.
Ricarda
Ricarda is a feminine given name, primarily used in German- and Spanish-speaking countries, derived from the male name Richard.
-
E.
Rosabella
Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
- 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf1898748190b031a2bd2091c0c0 |
completed | March 7, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d7c84e8819098089bd1c6874189 |
completed | March 10, 2026, 1:32 p.m. |
Created at: March 6, 2026, 10:01 p.m.