Triple

T20262961
Position Surface form Disambiguated ID Type / Status
Subject Kalos E498889 entity
Predicate hasGymLeader P139445 FINISHED
Object Korrina
Korrina is a Fighting-type Gym Leader from the Kalos region in the Pokémon series, known for her roller skates and partnership with the Mega-Evolving Lucario.
E1422536 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: Korrina | Statement: [Kalos, hasGymLeader, Korrina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Korrina
Context triple: [Kalos, hasGymLeader, Korrina]
  • A. Caila
    Caila is an alternate given name associated with American actress and producer Marsai Martin.
  • B. Kadina
    Kadina is a historic copper mining town and one of the main commercial centers on South Australia's Yorke Peninsula.
  • C. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • D. Meara
    Meara is the surname of American actress and comedian Anne Meara, best known as half of the comedy duo Stiller and Meara and as the mother of actor Ben Stiller.
  • E. Korina
    Korina is the surname of Irina Korina, a contemporary Russian artist known for her installations and sculptural works.
  • 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: Korrina
Triple: [Kalos, hasGymLeader, Korrina]
Generated description
Korrina is a Fighting-type Gym Leader from the Kalos region in the Pokémon series, known for her roller skates and partnership with the Mega-Evolving Lucario.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Korrina
Target entity description: Korrina is a Fighting-type Gym Leader from the Kalos region in the Pokémon series, known for her roller skates and partnership with the Mega-Evolving Lucario.
  • A. Caila
    Caila is an alternate given name associated with American actress and producer Marsai Martin.
  • B. Kadina
    Kadina is a historic copper mining town and one of the main commercial centers on South Australia's Yorke Peninsula.
  • C. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • D. Meara
    Meara is the surname of American actress and comedian Anne Meara, best known as half of the comedy duo Stiller and Meara and as the mother of actor Ben Stiller.
  • E. Korina
    Korina is the surname of Irina Korina, a contemporary Russian artist known for her installations and sculptural works.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674cba2748190a886ecd8316dc518 completed April 20, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085a1b2c488190988292fdbc6f3f3b completed May 16, 2026, 11:50 a.m.
NEDg Description generation batch_6a085aecd7e48190a82b7cc8ac9f53ba completed May 16, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_6a085baddf1c8190ac7444a8e1d5128f completed May 16, 2026, 11:57 a.m.
Created at: April 11, 2026, 11:41 p.m.