Triple

T8841232
Position Surface form Disambiguated ID Type / Status
Subject Rosalía E210394 entity
Predicate givenName P17 FINISHED
Object Rosalía E210394 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: Rosalía | Statement: [Rosalía, givenName, Rosalía]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosalía
Context triple: [Rosalía, givenName, Rosalía]
  • A. Rosalía chosen
    Rosalía is a Spanish singer and songwriter known for blending flamenco with contemporary pop and urban music, gaining international acclaim for her innovative sound and visuals.
  • B. Cristina Iglesias
    Cristina Iglesias is a renowned Spanish sculptor and installation artist celebrated for her large-scale, site-specific works that often integrate architectural forms and natural elements.
  • C. Paloma Rocasolano
    Paloma Rocasolano is a Spanish nurse and the mother of Queen Letizia of Spain, making her a member of the extended Spanish royal family.
  • D. Karol G
    Karol G is a Colombian reggaeton and Latin trap singer-songwriter known for her chart-topping hits and major influence in contemporary Latin urban music.
  • E. Gaby Moreno
    Gaby Moreno is a Guatemalan singer-songwriter and guitarist known for her soulful blend of Latin, blues, jazz, and folk music.
  • 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_69ca838967bc8190b46c3c80a2887ea4 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60876c6c8190b1b490e447e1cf4b completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba0934288190bc22dfee0a13124e completed April 3, 2026, 1 p.m.
Created at: March 30, 2026, 6:48 p.m.