Triple

T19839396
Position Surface form Disambiguated ID Type / Status
Subject Younus E476683 entity
Predicate hasDiminutiveOrNickname P456 FINISHED
Object Yuni
Yuni is a diminutive or nickname commonly used for the given name Younus.
E1289027 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: Yuni | Statement: [Younus, hasDiminutiveOrNickname, Yuni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuni
Context triple: [Younus, hasDiminutiveOrNickname, Yuni]
  • A. Yuni
    Yuni is a small town located in Hokkaido, Japan, known for its rural landscapes and agricultural character.
  • B. Yelinda
    Yelinda is a dialect of the Bulu language spoken by a specific subgroup of Bulu speakers in Cameroon.
  • C. Uma
    Uma is a central antagonist in Disney's "Descendants" franchise, known as the ambitious and strong-willed daughter of Ursula who leads a pirate crew on the Isle of the Lost.
  • D. Uma
    Uma is an Austronesian language spoken primarily in Central Sulawesi, Indonesia.
  • E. Uma
    Uma is a Bengali film directed by Srijit Mukherji, inspired by a real-life story of a terminally ill girl whose father recreates the Durga Puja festival early so she can experience it.
  • 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: Yuni
Triple: [Younus, hasDiminutiveOrNickname, Yuni]
Generated description
Yuni is a diminutive or nickname commonly used for the given name Younus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yuni
Target entity description: Yuni is a diminutive or nickname commonly used for the given name Younus.
  • A. Yuni chosen
    Yuni is a small town located in Hokkaido, Japan, known for its rural landscapes and agricultural character.
  • B. Yelinda
    Yelinda is a dialect of the Bulu language spoken by a specific subgroup of Bulu speakers in Cameroon.
  • C. Uma
    Uma is a Bengali film directed by Srijit Mukherji, inspired by a real-life story of a terminally ill girl whose father recreates the Durga Puja festival early so she can experience it.
  • D. Uma
    Uma is an Austronesian language spoken primarily in Central Sulawesi, Indonesia.
  • E. Uma
    Uma is a central antagonist in Disney's "Descendants" franchise, known as the ambitious and strong-willed daughter of Ursula who leads a pirate crew on the Isle of the Lost.
  • F. None of above.

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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65804be608190b49e110c3bf381bc completed April 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07d436990481908bb488d3935fa773 completed May 16, 2026, 2:19 a.m.
NEDg Description generation batch_6a07d5ec45208190a75365a4a411aa7c completed May 16, 2026, 2:26 a.m.
NED2 Entity disambiguation (via description) batch_6a07d6ffc6508190aa9df66c2cf3d532 completed May 16, 2026, 2:31 a.m.
Created at: April 10, 2026, 1:50 p.m.