Triple

T17911265
Position Surface form Disambiguated ID Type / Status
Subject Yu Yu Hakusho E447822 entity
Predicate hasCharacter P2308 FINISHED
Object Yukina
Yukina is a gentle ice apparition from the anime and manga series Yu Yu Hakusho, known for her healing powers and her quest to find her long-lost brother.
 E1305314 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: Yukina | Statement: [Yu Yu Hakusho, hasCharacter, Yukina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yukina
Context triple: [Yu Yu Hakusho, hasCharacter, Yukina]
  • A. Koyuki
    Koyuki is a Japanese actress and model best known internationally for her role opposite Tom Cruise in the film "The Last Samurai."
  • B. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • C. Yuzuriha
    Yuzuriha is an evergreen tree commonly used in Japan as a symbolic plant, notably serving as the official tree emblem of Kōchi Prefecture.
  • D. Yuki
    The Yuki are a Native American people indigenous to what is now Northern California, traditionally living in the upper Eel River region with distinct languages and cultural practices.
  • E. Yuki
    Yuki is a Japanese given name commonly used for people of any gender, often associated with meanings like "snow" or "happiness" depending on the kanji used.
  • 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: Yukina
Triple: [Yu Yu Hakusho, hasCharacter, Yukina]
Generated description
Yukina is a gentle ice apparition from the anime and manga series Yu Yu Hakusho, known for her healing powers and her quest to find her long-lost brother.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yukina
Target entity description: Yukina is a gentle ice apparition from the anime and manga series Yu Yu Hakusho, known for her healing powers and her quest to find her long-lost brother.
  • A. Koyuki
    Koyuki is a Japanese actress and model best known internationally for her role opposite Tom Cruise in the film "The Last Samurai."
  • B. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • C. Yuzuriha
    Yuzuriha is an evergreen tree commonly used in Japan as a symbolic plant, notably serving as the official tree emblem of Kōchi Prefecture.
  • D. Yuki
    The Yuki are a Native American people indigenous to what is now Northern California, traditionally living in the upper Eel River region with distinct languages and cultural practices.
  • E. Yuki
    Yuki is a Japanese given name commonly used for people of any gender, often associated with meanings like "snow" or "happiness" depending on the kanji used.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49ea017d081908be850a39edf601f completed April 19, 2026, 9:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a035d78dfcc8190a3edc5b591d3f686 completed May 12, 2026, 5:03 p.m.
NEDg Description generation batch_6a035fac7f2c8190a6ad4c8b4531701a completed May 12, 2026, 5:13 p.m.
NED2 Entity disambiguation (via description) batch_6a036004470c8190a81cf241ac3e16b7 completed May 12, 2026, 5:14 p.m.
Created at: April 10, 2026, 10:19 a.m.