Triple

T15780834
Position Surface form Disambiguated ID Type / Status
Subject Gilbert Roland E382609 entity
Predicate familyName P18 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: [Gilbert Roland, familyName, Alonso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alonso
Context triple: [Gilbert Roland, familyName, 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. Jaime Alguersuari
    Jaime Alguersuari is a Spanish former Formula One racing driver who competed for Toro Rosso and later became known as a DJ and music producer.
  • E. Perez
    Perez is a character in the Saw horror film franchise, appearing as a law enforcement figure involved in investigating the Jigsaw killings.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05400716881909bc43212c8ea54d5 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff909f7f4481909cceb32e26af3780 completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.