Triple

T10746531
Position Surface form Disambiguated ID Type / Status
Subject Balthus E253463 entity
Predicate givenName P17 FINISHED
Object Balthasar E561804 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: Balthasar | Statement: [Balthus, givenName, Balthasar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balthasar
Context triple: [Balthus, givenName, Balthasar]
  • A. Balthasar chosen
    Balthasar is a given name of biblical origin traditionally associated with one of the Three Wise Men in Christian tradition.
  • B. Melchior
    Melchior is traditionally known as one of the Three Wise Men or Magi who visited the infant Jesus, often depicted as an aged king bearing gifts.
  • C. Baltasar
    Baltasar is a variant of the name Belshazzar, historically associated with the last king of Babylon mentioned in the biblical Book of Daniel.
  • D. Sindorf
    Sindorf is a district of the town of Kerpen in North Rhine-Westphalia, Germany.
  • E. Joachim von Kortzfleisch
    Joachim von Kortzfleisch was a German Wehrmacht general during World War II, known for his role in the suppression of the 20 July 1944 plot against Adolf Hitler.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d711b85d9c8190a66f536e2f22ed04 completed April 9, 2026, 2:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69de230b461c81909a98085079676b95 completed April 14, 2026, 11:20 a.m.
Created at: April 8, 2026, 9:15 p.m.