Triple

T14325911
Position Surface form Disambiguated ID Type / Status
Subject Catalan culture E355213 entity
Predicate hasMusician P20942 FINISHED
Object Raimon E293411 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: Raimon | Statement: [Catalan culture, hasMusician, Raimon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raimon
Context triple: [Catalan culture, hasMusician, Raimon]
  • A. Guillermón
    Guillermón was the popular nickname of Cuban independence general Guillermón Moncada, a prominent Afro-Cuban military leader in the wars against Spanish colonial rule.
  • B. Rollán
    Rollán is the Spanish family name of actress Maribel Verdú, known for her prominent roles in Spanish and international cinema.
  • C. Raimón chosen
    Raimón is a given name, commonly used in Spanish- and Catalan-speaking regions, that serves as a variant of the name Ramón.
  • D. Raimond
    Raimond is a masculine given name of Germanic origin, commonly considered a variant spelling of Raymond and used in various European countries.
  • E. Blasco
    Blasco is a masculine given name of Spanish origin, historically borne by notable figures such as colonial administrators and writers.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de883e6a288190b6c22f630a1eef3c completed April 14, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4690a79c819099cc4ae9a10ba0db completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:13 a.m.