Triple

T6630854
Position Surface form Disambiguated ID Type / Status
Subject Alonso de Bazán E149918 entity
Predicate givenName P17 FINISHED
Object Alonso E150045 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: Alonso | Statement: [Alonso de Bazán, givenName, Alonso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alonso
Context triple: [Alonso de Bazán, givenName, Alonso]
  • A. Alonso chosen
    Alonso is a Spanish given name of Germanic origin, widely used across the Spanish-speaking world and historically borne by numerous nobles, writers, and fictional characters.
  • B. Fernando Alonso
    Fernando Alonso is a Spanish Formula One racing driver, widely regarded as one of the sport’s greatest competitors and a multiple-time world champion.
  • C. Fernando Alonso
    Fernando Alonso was a prominent Spanish ballet dancer and choreographer who co-founded the Cuban National Ballet and played a key role in developing Cuban ballet.
  • D. Perez
    Perez is a biblical figure from the Book of Genesis, known as one of the twin sons of Judah and an ancestor in the lineage leading to King David.
  • E. Adrian Sutil
    Adrian Sutil is a German former Formula One racing driver best known for his long association with the Spyker and Force India teams in the late 2000s and early 2010s.
  • 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afa6e52c8190943c86660da23c75 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbeef9f48190aea2e97a1f8735ee completed March 27, 2026, 6:26 p.m.
Created at: March 27, 2026, 1:59 p.m.