Triple

T14215168
Position Surface form Disambiguated ID Type / Status
Subject Stephano E352330 entity
Predicate employerInFiction P40735 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: [Stephano, employerInFiction, Alonso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alonso
Context triple: [Stephano, employerInFiction, 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 was a prominent Spanish ballet dancer and choreographer who co-founded the Cuban National Ballet and played a key role in developing Cuban ballet.
  • C. 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.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de620f07bc81909212dcd1c91b5f95 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd1959f3d481909c15730bbd6f4748 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:06 a.m.