Triple

T13992792
Position Surface form Disambiguated ID Type / Status
Subject Chabeli Iglesias E336622 entity
Predicate familyName P18 FINISHED
Object Iglesias E244992 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: Iglesias | Statement: [Chabeli Iglesias, familyName, Iglesias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iglesias
Context triple: [Chabeli Iglesias, familyName, Iglesias]
  • A. Iglesias chosen
    Iglesias is a Spanish surname borne by numerous notable figures in fields such as music, politics, and sports.
  • 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. Santamaría
    Santamaría is a Spanish-language surname borne by various notable figures in Latin American history and culture.
  • D. Enrique Iglesias
    Enrique Iglesias is a Spanish-born pop singer and songwriter known for his international hits in both English and Spanish, often dubbed the "King of Latin Pop."
  • E. José María Iglesias
    José María Iglesias was a 19th-century Mexican lawyer, politician, and briefly self-proclaimed president, known for his role in liberal reforms and opposition during the turbulent post-Reform War era.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb3b5d881909f15a1e08bb202f3 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac98ca448190b585ef69a4e4bfca completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.