Triple
T17026700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grandmamma Sesemann |
E413082
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sesemann |
E1246468
|
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: Sesemann | Statement: [Grandmamma Sesemann, familyName, Sesemann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sesemann Context triple: [Grandmamma Sesemann, familyName, Sesemann]
-
A.
Sesemann
chosen
Sesemann is the family surname of Klara Sesemann, a central character in Johanna Spyri’s classic children’s novel "Heidi."
-
B.
Oberhauser
Oberhauser is a German-language surname borne by various notable individuals across fields such as sports, the arts, and public life.
-
C.
Maufe
Maufe is a surname most notably associated with Sir Edward Maufe, a 20th-century British architect known for designing Guildford Cathedral and several prominent war memorials.
-
D.
Ritschel
Ritschel is a German surname best known as the maiden name of Magda Goebbels, the wife of Nazi propaganda minister Joseph Goebbels.
-
E.
Eltmann
Eltmann is a small town in the Lower Franconia region of Bavaria, Germany, situated along the Main River and known for its historic architecture and surrounding wine-growing landscape.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d5ed388190871aa738cac04b65 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012334c3b48190b125ab926450c45b |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.