Triple

T13337098
Position Surface form Disambiguated ID Type / Status
Subject Delphine de Nucingen E317723 entity
Predicate familyName P18 FINISHED
Object de 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: de Nucingen | Statement: [Delphine de Nucingen, familyName, de Nucingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Nucingen
Context triple: [Delphine de Nucingen, familyName, de 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. Sigmaringen
    Sigmaringen is a historic town in southwestern Germany best known for its Hohenzollern castle and its role as a former seat of the Hohenzollern-Sigmaringen principality.
  • C. Schorisse
    Schorisse is a village in East Flanders, Belgium, that now forms part of the municipality of Maarkedal.
  • D. Ruhpolding
    Ruhpolding is a Bavarian alpine town in southeastern Germany known for its winter sports facilities, especially biathlon, and its scenic location in the Chiemgau Alps.
  • E. Offenberg
    Offenberg is a municipality in the Bavarian region of Germany, situated within the Regen district.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d00b75c8190af98784c7df904c8 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f73979cb4081909e750e2d98869891 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:31 p.m.