Triple

T14878980
Position Surface form Disambiguated ID Type / Status
Subject Ellie E349942 entity
Predicate shortFormOf P43 FINISHED
Object Eliana
Eliana is a feminine given name of Hebrew and Latin origin, often interpreted to mean "God has answered" or "my God has answered."
 E1126881 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: Eliana | Statement: [Ellie, shortFormOf, Eliana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eliana
Context triple: [Ellie, shortFormOf, Eliana]
  • A. Elicia
    Elicia is a secondary character in the Spanish tragicomedy "La Celestina," depicted as a young prostitute and companion of Celestina who contributes to the work’s themes of desire, greed, and social corruption.
  • B. Marlen
    Marlen is a village district of the town of Kehl in the German state of Baden-Württemberg.
  • C. Fabiola
    Fabiola is a given name of Latin origin, historically associated with saints and European royalty.
  • D. Alicia
    Alicia is a fictional character associated with the entity or concept known as "The Lonely."
  • E. Alicia
    Alicia is a supporting character in the Argentine-Spanish film "Martín (Hache)," involved in the complex emotional and interpersonal dynamics surrounding the protagonist.
  • 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: Eliana
Triple: [Ellie, shortFormOf, Eliana]
Generated description
Eliana is a feminine given name of Hebrew and Latin origin, often interpreted to mean "God has answered" or "my God has answered."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eliana
Target entity description: Eliana is a feminine given name of Hebrew and Latin origin, often interpreted to mean "God has answered" or "my God has answered."
  • A. Elicia
    Elicia is a secondary character in the Spanish tragicomedy "La Celestina," depicted as a young prostitute and companion of Celestina who contributes to the work’s themes of desire, greed, and social corruption.
  • B. Marlen
    Marlen is a village district of the town of Kehl in the German state of Baden-Württemberg.
  • C. Fabiola
    Fabiola is a given name of Latin origin, historically associated with saints and European royalty.
  • D. Alicia
    Alicia is a fictional character associated with the entity or concept known as "The Lonely."
  • E. Alicia
    Alicia is a supporting character in the Argentine-Spanish film "Martín (Hache)," involved in the complex emotional and interpersonal dynamics surrounding the protagonist.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e622388190b2bf91cd10b9821d completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72ac9f6481908f7b4f63a11fe16c completed May 8, 2026, 11:33 p.m.
NEDg Description generation batch_69fe74c098548190bf97cfae53868671 completed May 8, 2026, 11:41 p.m.
NED2 Entity disambiguation (via description) batch_69fe75759f1081909c3bb3b642cdc0c2 completed May 8, 2026, 11:44 p.m.
Created at: April 10, 2026, 1:55 a.m.