Triple

T4732745
Position Surface form Disambiguated ID Type / Status
Subject Enrico E105049 entity
Predicate hasAlternativeSpelling P457 FINISHED
Object Enriko
Enriko is a masculine given name, typically used as an alternative spelling of the name Enrico.
E105049 NE FINISHED

How this triple was built (4 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: Enriko | Statement: [Enrico, hasAlternativeSpelling, Enriko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enriko
Context triple: [Enrico, hasAlternativeSpelling, Enriko]
  • A. Enrico
    Enrico is the given name of Enrico Fermi, the renowned Italian-American physicist who helped develop the first nuclear reactor and made foundational contributions to quantum theory and nuclear physics.
  • B. Silvano
    Silvano is an Italian given name, related to Silvio, traditionally associated with the Latin name Silvanus meaning "of the forest" or "woodland."
  • C. Amadeo
    Amadeo is a small agricultural municipality in the province of Cavite in the Philippines, known particularly for its coffee production.
  • D. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • E. Alfons
    Alfons is the given name of Alphonse Mucha, the renowned Czech Art Nouveau painter and decorative artist.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Enriko
Triple: [Enrico, hasAlternativeSpelling, Enriko]
Generated description
Enriko is a masculine given name, typically used as an alternative spelling of the name Enrico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Enriko
Target entity description: Enriko is a masculine given name, typically used as an alternative spelling of the name Enrico.
  • A. Enrico chosen
    Enrico is the given name of Enrico Fermi, the renowned Italian-American physicist who helped develop the first nuclear reactor and made foundational contributions to quantum theory and nuclear physics.
  • B. Silvano
    Silvano is an Italian given name, related to Silvio, traditionally associated with the Latin name Silvanus meaning "of the forest" or "woodland."
  • C. Amadeo
    Amadeo is a small agricultural municipality in the province of Cavite in the Philippines, known particularly for its coffee production.
  • D. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • E. Alfons
    Alfons is the given name of Alphonse Mucha, the renowned Czech Art Nouveau painter and decorative artist.
  • F. None of above.

Provenance (5 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6466354481908595f5bb56025cdb completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6f979ca88190bc0128812329cb24 completed March 21, 2026, 10:14 a.m.
NEDg Description generation batch_69be702fe55481908224972344213a56 completed March 21, 2026, 10:17 a.m.
NED2 Entity disambiguation (via description) batch_69be7097c2a0819082229acd3d6f99ca completed March 21, 2026, 10:19 a.m.
Created at: March 20, 2026, 1:19 p.m.