Triple

T9585984
Position Surface form Disambiguated ID Type / Status
Subject Maurus E231290 entity
Predicate hasDiminutiveOrRelatedForm P456 FINISHED
Object Mauro E809080 NE FINISHED

How this triple was built (3 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: Mauro | Statement: [Maurus, hasDiminutiveOrRelatedForm, Mauro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mauro
Context triple: [Maurus, hasDiminutiveOrRelatedForm, Mauro]
  • A. Mauro chosen
    Mauro is a masculine given name, common in Italian and Spanish-speaking countries, derived from the Latin name Maurus.
  • B. Aroldo
    Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
  • C. Silvano
    Silvano is an Italian given name, related to Silvio, traditionally associated with the Latin name Silvanus meaning "of the forest" or "woodland."
  • D. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • E. Marcelo
    Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDiminutiveOrRelatedForm
Context triple: [Maurus, hasDiminutiveOrRelatedForm, Mauro]
  • A. hasDiminutive chosen
    Indicates that one entity is a diminutive form or smaller/affectionate variant of another entity.
  • B. hasAdjectiveForm
    Indicates that one term is the adjective form derived from another related term (such as a noun or verb).
  • C. isGivenNameFormOf
    Indicates that one name is a given-name variant or form derived from another name.
  • D. hasTwoWordForm
    Indicates that an entity is represented or expressed using a form consisting of exactly two words.
  • E. hasFeminineFormInSomeLanguages
    Indicates that the referenced entity has a distinct feminine grammatical or lexical form in at least one language.
  • F. None of above.

Provenance (4 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_69ca848161688190a68d514a0a9d5129 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99edc2c08190b67b40f6214d46f1 completed April 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1821ad79c81908fa871ee2893d2f9 completed April 4, 2026, 9:26 p.m.
PD Predicate disambiguation batch_69ccd59fd7408190b36831902e3f37f7 completed April 1, 2026, 8:21 a.m.
Created at: March 30, 2026, 8:06 p.m.