Triple

T15721941
Position Surface form Disambiguated ID Type / Status
Subject Eleonore of Austria E381116 entity
Predicate givenName P17 FINISHED
Object Eleonore E343140 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: Eleonore | Statement: [Eleonore of Austria, givenName, Eleonore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eleonore
Context triple: [Eleonore of Austria, givenName, Eleonore]
  • A. Eleonore chosen
    Eleonore is the given first name of Hannelore Kohl, the late wife of former German Chancellor Helmut Kohl.
  • B. Catharina
    Catharina of Württemberg was a 19th-century German princess who became Queen consort of Westphalia through her marriage to Jérôme Bonaparte, Napoleon’s youngest brother.
  • C. Catharina
    Catharina is a feminine given name of Greek origin, commonly used in various European cultures and often associated with historical and religious figures.
  • D. Gisela
    Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
  • E. Gisela
    Gisela was a daughter of the West Frankish king and Holy Roman Emperor Charles the Bald, belonging to the Carolingian royal dynasty of the 9th century.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb0b51081908e652ec4992296fa completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff75866b548190b07392b05e631192 completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.