Triple
T12960195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nucingen |
E310119
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Nucingen |
E310119
|
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: Nucingen | Statement: [Nucingen, familyName, Nucingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nucingen Context triple: [Nucingen, familyName, Nucingen]
-
A.
Nucingen
chosen
Nucingen is a powerful and unscrupulous banker in Balzac’s La Comédie humaine, emblematic of the corrupt financial elite of 19th-century Paris.
-
B.
Bochingen
Bochingen is a village and district of the town Oberndorf am Neckar in the state of Baden-Württemberg in southwestern Germany.
-
C.
Schwanau
Schwanau is a municipality in southwestern Germany’s Baden-Württemberg region, situated near the Rhine River and the French border.
-
D.
Biberach an der Riß
Biberach an der Riß is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval old town and traditional Swabian culture.
-
E.
Sulzach
Sulzach is a small river in Bavaria, Germany, that flows through the town of Feuchtwangen and forms part of the local Franconian river system.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e2e44908190bb8b43fc5c3b8a8a |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73051273c81909eb91c923f37557e |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 5:44 p.m.