Triple

T14134678
Position Surface form Disambiguated ID Type / Status
Subject Roberto d’Aubuisson E350259 entity
Predicate givenName P17 FINISHED
Object Roberto E26746 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: Roberto | Statement: [Roberto d’Aubuisson, givenName, Roberto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roberto
Context triple: [Roberto d’Aubuisson, givenName, Roberto]
  • A. Roberto chosen
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • B. Fabio
    Fabio is the birth name of Pope Alexander VII, the 17th-century head of the Catholic Church and ruler of the Papal States.
  • C. Fabio
    Fabio is the central protagonist of the series "High Seas," around whom the main plot and character dynamics revolve.
  • D. Sergio
    Sergio is a masculine given name commonly used in Spanish and Italian-speaking countries, derived from the Latin name Sergius.
  • E. Riccardo
    Riccardo is an Italian given name, equivalent to Richard in English.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610e949c8190852d336c9d12bfd0 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf06cddcc81909a1ba268f667dc1d completed May 8, 2026, 2:17 p.m.
Created at: April 9, 2026, 11:57 p.m.