Triple

T15313518
Position Surface form Disambiguated ID Type / Status
Subject Emmanuelle E366096 entity
Predicate hasVariant P455 FINISHED
Object Manuela E325930 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: Manuela | Statement: [Emmanuelle, hasVariant, Manuela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manuela
Context triple: [Emmanuelle, hasVariant, Manuela]
  • A. Manuela chosen
    Manuela is the given name of Maria Manuela, a 16th-century Portuguese princess who became Queen of Castile through marriage to King Philip II of Spain.
  • B. Carmelina
    Carmelina is a lesser-known Broadway musical with music by Burton Lane and lyrics by Alan Jay Lerner, loosely based on the film "Buona Sera, Mrs. Campbell."
  • C. Inés
    Inés is a feminine given name, especially common in Spanish-speaking countries, derived from the name Agnes.
  • D. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • E. Aleida
    Aleida is a feminine given name of Spanish origin, notably borne by Aleida Guevara, the daughter of revolutionary leader Che Guevara.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd050108190a584543cb93943a4 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01e70a308190a7d6b91178c39bd3 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:16 a.m.