Triple

T10106646
Position Surface form Disambiguated ID Type / Status
Subject Friedrich Müller (Maler Müller) E216337 entity
Predicate notableWork P4 FINISHED
Object Golo und Genoveva E737641 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: Golo und Genoveva | Statement: [Friedrich Müller (Maler Müller), notableWork, Golo und Genoveva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golo und Genoveva
Context triple: [Friedrich Müller (Maler Müller), notableWork, Golo und Genoveva]
  • A. Giovanna
    Giovanna is an Italian feminine given name equivalent to English "Jane," commonly used in Italy and among Italian-speaking communities.
  • B. Genoveva chosen
    Genoveva is the tragic heroine of Robert Schumann’s only opera, a Romantic-era work based on medieval legend.
  • C. La Dibona
    La Dibona is a striking granite spire in the French Alps, renowned among climbers for its elegant shape and classic alpine rock routes.
  • D. Guisa
    Guisa is a municipality and town located in Cuba’s eastern Granma Province, known for its rural character and historical significance in the Cuban Revolution.
  • E. Al d’Ossché
    Al d’Ossché is a notable musician recognized for his influential performances and contributions to the tradition of Appalachian dulcimer music.
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd0c8a0408190be886ec1013a5208 completed April 2, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc0572e08190a8ef4d620ac27d88 completed April 5, 2026, 8:54 p.m.
Created at: March 30, 2026, 9:03 p.m.