Triple

T10924910
Position Surface form Disambiguated ID Type / Status
Subject Ivana E258038 entity
Predicate equivalentName P6530 FINISHED
Object Ioanna
Ioanna is a feminine given name, commonly used in Greek and other European cultures, that is equivalent to the name Ivana.
E894108 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: Ioanna | Statement: [Ivana, equivalentName, Ioanna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ioanna
Context triple: [Ivana, equivalentName, Ioanna]
  • A. Aikaterini
    Aikaterini is the modern Greek female given name corresponding to the traditional name Aikaterine (often rendered in English as Catherine).
  • B. Eleni
    Eleni is a feminine given name of Greek origin, commonly used in Greece and among Greek communities worldwide.
  • C. Vassiliki
    Vassiliki is a coastal village on the Greek island of Lefkada, known for its popular beaches and excellent windsurfing conditions.
  • D. Giannina
    Giannina is a Costa Rican actress and film producer best known for her frequent collaborations with director Ridley Scott, to whom she is married.
  • E. Kyra Panagia
    Kyra Panagia is a small, sparsely inhabited Greek island in the Northern Sporades known for its tranquil natural environment and historic monastery.
  • 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: Ioanna
Triple: [Ivana, equivalentName, Ioanna]
Generated description
Ioanna is a feminine given name, commonly used in Greek and other European cultures, that is equivalent to the name Ivana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ioanna
Target entity description: Ioanna is a feminine given name, commonly used in Greek and other European cultures, that is equivalent to the name Ivana.
  • A. Aikaterini
    Aikaterini is the modern Greek female given name corresponding to the traditional name Aikaterine (often rendered in English as Catherine).
  • B. Eleni
    Eleni is a feminine given name of Greek origin, commonly used in Greece and among Greek communities worldwide.
  • C. Vassiliki
    Vassiliki is a coastal village on the Greek island of Lefkada, known for its popular beaches and excellent windsurfing conditions.
  • D. Giannina
    Giannina is a Costa Rican actress and film producer best known for her frequent collaborations with director Ridley Scott, to whom she is married.
  • E. Kyra Panagia
    Kyra Panagia is a small, sparsely inhabited Greek island in the Northern Sporades known for its tranquil natural environment and historic monastery.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7708f7ab48190b60a4bb8fdb17c8e completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e217369b648190914c58db6f6e0200 completed April 17, 2026, 11:19 a.m.
NEDg Description generation batch_69e21d8a2e6881909b33cbe4ab919315 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e21eaa1e9881909f3b276e0ff0c511 completed April 17, 2026, 11:51 a.m.
Created at: April 8, 2026, 9:22 p.m.