Triple

T15634969
Position Surface form Disambiguated ID Type / Status
Subject Elisa Baciocchi E375917 entity
Predicate givenName P17 FINISHED
Object Maria Anna NE NERFINISHED

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: Maria Anna | Statement: [Elisa Baciocchi, givenName, Maria Anna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Anna
Context triple: [Elisa Baciocchi, givenName, Maria Anna]
  • A. Maria Anna chosen
    Maria Anna is a feminine given name of Latin origin, commonly used in German-speaking and other European countries, often in honor of the Virgin Mary.
  • B. Maria Anna of Neuburg
    Maria Anna of Neuburg was a German princess of the Palatinate who became the second wife and queen consort of Charles II of Spain during the late 17th century.
  • C. Maria Anna of Bavaria
    Maria Anna of Bavaria was a Bavarian princess who became Electress and later Queen consort of Saxony through her marriage to Frederick Augustus II.
  • D. Maria Anna of Bavaria
    Maria Anna of Bavaria was a 17th-century Bavarian princess and Habsburg archduchess who became Holy Roman Empress as the wife of Ferdinand II.
  • E. Maria Anna of Austria
    Maria Anna of Austria was an 18th-century Archduchess of Austria and member of the Habsburg dynasty who became Duchess of Lorraine through her marriage to Prince Charles Alexander of Lorraine.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb8b4c48190b80fea6877483089 completed April 16, 2026, 2:51 a.m.
Created at: April 10, 2026, 4:14 a.m.