Triple

T8707330
Position Surface form Disambiguated ID Type / Status
Subject Raymond E206680 entity
Predicate hasVariant P455 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: [Raymond, hasVariant, Raimon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raimon
Context triple: [Raymond, hasVariant, Raimon]
  • A. Rollán
    Rollán is the Spanish family name of actress Maribel Verdú, known for her prominent roles in Spanish and international cinema.
  • B. Raimón chosen
    Raimón is a given name, commonly used in Spanish- and Catalan-speaking regions, that serves as a variant of the name Ramón.
  • C. Raimond
    Raimond is a masculine given name of Germanic origin, commonly considered a variant spelling of Raymond and used in various European countries.
  • D. Blasco
    Blasco is a masculine given name of Spanish origin, historically borne by notable figures such as colonial administrators and writers.
  • E. Baltasar
    Baltasar is a variant of the name Belshazzar, historically associated with the last king of Babylon mentioned in the biblical Book of Daniel.
  • 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58fe19ac8190936ba0faf513ed2b completed March 31, 2026, 11:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf5165c7708190988eeacf4789b708 completed April 3, 2026, 5:34 a.m.
Created at: March 30, 2026, 6:35 p.m.