Triple

T5892321
Position Surface form Disambiguated ID Type / Status
Subject Ken Watanabe E131018 entity
Predicate notableWork P4 FINISHED
Object Yukie
Yukie is a Japanese film featuring Ken Watanabe in a prominent role.
 E575154 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: Yukie | Statement: [Ken Watanabe, notableWork, Yukie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yukie
Context triple: [Ken Watanabe, notableWork, Yukie]
  • A. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • B. 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.
  • C. Kyoko
    Kyoko is a mysterious, mostly silent android in the science fiction film "Ex Machina," serving as both assistant and unsettling presence within the reclusive inventor Nathan's isolated research facility.
  • D. Yuriko
    Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
  • E. Naoko
    Naoko is a central, emotionally fragile character in Haruki Murakami’s story "Norwegian Wood," whose complex relationship with the protagonist explores themes of love, loss, and mental illness.
  • 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: Yukie
Triple: [Ken Watanabe, notableWork, Yukie]
Generated description
Yukie is a Japanese film featuring Ken Watanabe in a prominent role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yukie
Target entity description: Yukie is a Japanese film featuring Ken Watanabe in a prominent role.
  • A. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • B. 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.
  • C. Kyoko
    Kyoko is a mysterious, mostly silent android in the science fiction film "Ex Machina," serving as both assistant and unsettling presence within the reclusive inventor Nathan's isolated research facility.
  • D. Yuriko
    Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
  • E. Naoko
    Naoko is a central, emotionally fragile character in Haruki Murakami’s story "Norwegian Wood," whose complex relationship with the protagonist explores themes of love, loss, and mental illness.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036b45bec81908a13f39bbc181a59 completed March 22, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16e882cdc819082b46b9380c430ad completed March 23, 2026, 4:47 p.m.
NEDg Description generation batch_69c1e2a4ec088190bf7a7359a9f86645 completed March 24, 2026, 1:02 a.m.
NED2 Entity disambiguation (via description) batch_69c1e3323f788190a8cc4c870fef1d2b completed March 24, 2026, 1:04 a.m.
Created at: March 22, 2026, 3:58 p.m.