Triple

T4104438
Position Surface form Disambiguated ID Type / Status
Subject Gilbert E88415 entity
Predicate hasFeminineForm P1613 FINISHED
Object Gilberta
Gilberta is a feminine given name, typically considered the female form of Gilbert and used in various European languages.
E413171 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: Gilberta | Statement: [Gilbert, hasFeminineForm, Gilberta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilberta
Context triple: [Gilbert, hasFeminineForm, Gilberta]
  • A. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • B. Corinna
    Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
  • C. Minervina
    Minervina was the first wife or consort of the Roman emperor Constantine the Great, known primarily as the mother of his son Crispus.
  • D. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • E. Cinthia
    Cinthia is a feminine given name, most commonly recognized as a spelling variant of Cynthia.
  • 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: Gilberta
Triple: [Gilbert, hasFeminineForm, Gilberta]
Generated description
Gilberta is a feminine given name, typically considered the female form of Gilbert and used in various European languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gilberta
Target entity description: Gilberta is a feminine given name, typically considered the female form of Gilbert and used in various European languages.
  • A. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • B. Corinna
    Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
  • C. Minervina
    Minervina was the first wife or consort of the Roman emperor Constantine the Great, known primarily as the mother of his son Crispus.
  • D. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • E. Cinthia
    Cinthia is a feminine given name, most commonly recognized as a spelling variant of Cynthia.
  • F. None of above. chosen

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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd31bad88190b850d1dcba14de60 completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b7cdc088190a63f6c6d39ca4350 completed March 14, 2026, 2:06 p.m.
NEDg Description generation batch_69b56c29c72081909e6ef890dde593dd completed March 14, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_69b56ca671d0819097760161832998b0 completed March 14, 2026, 2:11 p.m.
Created at: March 9, 2026, 3:40 p.m.