Triple

T14212405
Position Surface form Disambiguated ID Type / Status
Subject Egan E352263 entity
Predicate hasVariant P455 FINISHED
Object Eganne
Eganne is a given name, likely a variant of the name Egan, used as a personal first name.
E1085950 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: Eganne | Statement: [Egan, hasVariant, Eganne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eganne
Context triple: [Egan, hasVariant, Eganne]
  • A. Enenga
    Enenga is a dialect of the Myene language spoken by communities in Gabon.
  • B. Annesa
    Annesa is the central female protagonist of the 1916 Italian silent film "Cenere," portrayed by the renowned actress Eleonora Duse.
  • C. Nachinola
    Nachinola is a small village located in the North Goa district of the Indian state of Goa, known for its rural setting and proximity to the region’s coastal and cultural attractions.
  • D. Garmanella
    Garmanella is a small genus of pupfish, a type of killifish, within the family Cyprinodontidae, known from freshwater habitats in Mexico.
  • E. Anezal
    Anezal is a village located in the Jbel Sirwa mountain region of southern Morocco.
  • 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: Eganne
Triple: [Egan, hasVariant, Eganne]
Generated description
Eganne is a given name, likely a variant of the name Egan, used as a personal first name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eganne
Target entity description: Eganne is a given name, likely a variant of the name Egan, used as a personal first name.
  • A. Enenga
    Enenga is a dialect of the Myene language spoken by communities in Gabon.
  • B. Annesa
    Annesa is the central female protagonist of the 1916 Italian silent film "Cenere," portrayed by the renowned actress Eleonora Duse.
  • C. Nachinola
    Nachinola is a small village located in the North Goa district of the Indian state of Goa, known for its rural setting and proximity to the region’s coastal and cultural attractions.
  • D. Garmanella
    Garmanella is a small genus of pupfish, a type of killifish, within the family Cyprinodontidae, known from freshwater habitats in Mexico.
  • E. Anezal
    Anezal is a village located in the Jbel Sirwa mountain region of southern Morocco.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de620dba0c8190bb77a1df10e1d3a7 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19574280819091bafd95a75983bf completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1a231cbc819083d38e25073892bf completed May 7, 2026, 11:02 p.m.
NED2 Entity disambiguation (via description) batch_69fd1ada47788190afcf8078d76ef339 completed May 7, 2026, 11:06 p.m.
Created at: April 10, 2026, 1:05 a.m.