Triple

T13015190
Position Surface form Disambiguated ID Type / Status
Subject Raimundo E322531 entity
Predicate hasVariantForm P457 FINISHED
Object Raimund E754312 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: Raimund | Statement: [Raimundo, hasVariantForm, Raimund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raimund
Context triple: [Raimundo, hasVariantForm, Raimund]
  • A. Raimund chosen
    Raimund is a masculine given name of Germanic origin, closely related to and often considered a variant of the name Raymond.
  • B. Aleandro
    Aleandro is an Italian surname historically associated with notable Catholic churchmen and papal diplomats.
  • C. Luciano
    Luciano is a masculine given name of Italian origin, famously borne by the renowned operatic tenor Luciano Pavarotti.
  • D. Emilio
    Emilio is a masculine given name of Spanish and Italian origin, borne by various notable figures including military leaders, artists, and politicians.
  • E. Raimundus
    Raimundus is a Latinized given name historically used across medieval Europe, often associated with various saints, scholars, and nobles.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ecd04748190ade2530ee5db35fe completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbc98e10819091d71198bca1ac12 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:50 p.m.