Triple

T7888272
Position Surface form Disambiguated ID Type / Status
Subject Baltasar Garzón E183158 entity
Predicate givenName P17 FINISHED
Object Baltasar E156875 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: Baltasar | Statement: [Baltasar Garzón, givenName, Baltasar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baltasar
Context triple: [Baltasar Garzón, givenName, Baltasar]
  • A. Baltasar chosen
    Baltasar is a variant of the name Belshazzar, historically associated with the last king of Babylon mentioned in the biblical Book of Daniel.
  • B. Basilio
    Basilio is the King of Poland in Calderón de la Barca’s play "La vida es sueño," whose fatalistic decisions about his son’s destiny drive the central conflict of the drama.
  • C. Graciano
    Graciano is a dark-skinned Spanish wine grape variety known for producing deeply colored, aromatic, and age-worthy red wines, particularly in blends from regions like Rioja.
  • D. Bernabé
    Bernabé is the Spanish given name of former New York Yankees All-Star center fielder Bernie Williams.
  • E. Blasco
    Blasco is a masculine given name of Spanish origin, historically borne by notable figures such as colonial administrators and writers.
  • 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_69ca828af6e48190a06ee7010d8f0e64 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39ea8d1c81908ef99569e0cf00b7 completed March 31, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b98f9b88190b25b5c23a9ae9ced completed March 31, 2026, 5:28 a.m.
Created at: March 30, 2026, 4:59 p.m.