Triple

T14712904
Position Surface form Disambiguated ID Type / Status
Subject Djuna E345596 entity
Predicate hasSpellingVariant P457 FINISHED
Object Juna
Juna is a given name that serves as a spelling variant of the name Djuna.
 E1116274 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: Juna | Statement: [Djuna, hasSpellingVariant, Juna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Juna
Context triple: [Djuna, hasSpellingVariant, Juna]
  • A. Jita
    The Jita are a Bantu-speaking ethnic group primarily inhabiting areas around Lake Victoria in northwestern Tanzania.
  • B. Tenea
    Tenea was an ancient Greek city, traditionally associated with Corinthian colonists and mythic Trojan origins, known from classical sources and archaeological discoveries in the Peloponnese.
  • C. Nunkun
    Nunkun is a prominent twin-peaked mountain massif in the Indian Himalayas, known for its challenging climbs and dramatic glaciated terrain.
  • D. Djao
    Djao is an alternative name for the Yao, an ethnic group found primarily in parts of China and Southeast Africa, known for their distinct cultural traditions and languages.
  • E. Kiana
    Kiana is a feminine given name used in various cultures, often considered a modern variant of names like Kiana or Kianna.
  • 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: Juna
Triple: [Djuna, hasSpellingVariant, Juna]
Generated description
Juna is a given name that serves as a spelling variant of the name Djuna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Juna
Target entity description: Juna is a given name that serves as a spelling variant of the name Djuna.
  • A. Jita
    The Jita are a Bantu-speaking ethnic group primarily inhabiting areas around Lake Victoria in northwestern Tanzania.
  • B. Tenea
    Tenea was an ancient Greek city, traditionally associated with Corinthian colonists and mythic Trojan origins, known from classical sources and archaeological discoveries in the Peloponnese.
  • C. Nunkun
    Nunkun is a prominent twin-peaked mountain massif in the Indian Himalayas, known for its challenging climbs and dramatic glaciated terrain.
  • D. Djao
    Djao is an alternative name for the Yao, an ethnic group found primarily in parts of China and Southeast Africa, known for their distinct cultural traditions and languages.
  • E. Kiana
    Kiana is a feminine given name used in various cultures, often considered a modern variant of names like Kiana or Kianna.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb982bf248190881e21a8a0861a3f completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf08f2aa08190a5ac3240d1de90fb completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf23d4928819093630e25616abb2d completed May 8, 2026, 2:25 p.m.
NED2 Entity disambiguation (via description) batch_69fdf31fcb4081908a88cf4d4c5ddced completed May 8, 2026, 2:28 p.m.
Created at: April 10, 2026, 1:29 a.m.