Triple
T6155140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Matthias Theodor Mommsen |
E137300
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Marie Mommsen |
E163003
|
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: Marie Mommsen | Statement: [Christian Matthias Theodor Mommsen, child, Marie Mommsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marie Mommsen Context triple: [Christian Matthias Theodor Mommsen, child, Marie Mommsen]
-
A.
Marie Reimer
chosen
Marie Reimer was the wife of renowned German classical scholar and historian Theodor Mommsen.
-
B.
Caroline Michaelis
Caroline Michaelis was a prominent German intellectual and literary figure of the late 18th and early 19th centuries, closely associated with the early Romantic movement.
-
C.
Marie Witschi-Courant
Marie Witschi-Courant was the wife of Swiss surgeon and Nobel laureate Emil Theodor Kocher.
-
D.
Anna Wimschneider
Anna Wimschneider was a German farmer and autobiographical writer best known for her memoir "Herbstmilch," which depicts her impoverished rural upbringing and life in early 20th-century Bavaria.
-
E.
Albertina Rasch
Albertina Rasch was an influential early 20th-century choreographer and dance director known for her work on Broadway and in Hollywood films.
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d01ddb0819085b5f5338b86a25d |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20d6eefa88190ae55dab8b4ebe06d |
completed | March 24, 2026, 4:05 a.m. |
Created at: March 22, 2026, 4:17 p.m.