Triple

T1580003
Position Surface form Disambiguated ID Type / Status
Subject Leonore E33739 entity
Predicate relatedName P3889 FINISHED
Object Leonor E149936 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: Leonor | Statement: [Leonore, relatedName, Leonor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonor
Context triple: [Leonore, relatedName, Leonor]
  • A. Leonor Varela
    Leonor Varela is a Chilean actress and model best known internationally for her roles in films such as "Blade II" and the TV miniseries "Cleopatra."
  • B. Leonor, Princess of Asturias chosen
    Leonor, Princess of Asturias is the heir presumptive to the Spanish throne and the eldest daughter of King Felipe VI and Queen Letizia.
  • C. Elvira of Castile
    Elvira of Castile was a 12th-century Castilian princess who became Queen of Sicily through her marriage to King Roger II.
  • D. Infanta of Spain
    An Infanta of Spain is a title traditionally given to a daughter (or, in some cases, a granddaughter) of the reigning Spanish monarch who is not the heir to the throne.
  • E. Joanna la Beltraneja
    Joanna la Beltraneja was a 15th-century Castilian princess and disputed claimant to the thrones of Castile and León, whose contested legitimacy sparked a major succession crisis and civil war.
  • 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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908d78fe48190b155f85deca59639 completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5b238288190b92202128d6fdf28 completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:27 p.m.