Triple

T20858422
Position Surface form Disambiguated ID Type / Status
Subject Yosuke Kubozuka E513545 entity
Predicate notableWork P4 FINISHED
Object Go
Go is a Japanese film adaptation of Kazuki Kaneshiro’s novel that follows a Korean-Japanese teenager grappling with identity, discrimination, and love in contemporary Japan.
E1454556 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: Go | Statement: [Yosuke Kubozuka, notableWork, Go]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Go
Context triple: [Yosuke Kubozuka, notableWork, Go]
  • A. Go
    Go is a 1961 hard bop jazz album by bassist Paul Chambers, showcasing his work as a bandleader with a small ensemble.
  • B. Go
    "Go" is a 2015 electronic dance track by The Chemical Brothers featuring Q-Tip, known for its driving beat and distinctive, minimalist music video.
  • C. Go
    Go is an ancient East Asian abstract strategy board game, renowned for its simple rules yet immense strategic depth, played on a grid with black and white stones.
  • D. Go
    Go is a statically typed, compiled programming language developed at Google, known for its simplicity, efficient concurrency support, and suitability for scalable networked and cloud services.
  • E. Go
    "Go" is a surf rock song, likely characterized by upbeat rhythms and guitar-driven melodies typical of the genre.
  • 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: Go
Triple: [Yosuke Kubozuka, notableWork, Go]
Generated description
Go is a Japanese film adaptation of Kazuki Kaneshiro’s novel that follows a Korean-Japanese teenager grappling with identity, discrimination, and love in contemporary Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Go
Target entity description: Go is a Japanese film adaptation of Kazuki Kaneshiro’s novel that follows a Korean-Japanese teenager grappling with identity, discrimination, and love in contemporary Japan.
  • A. Go
    Go is a 1999 ensemble crime-comedy film known for its interlocking stories, fast-paced narrative, and energetic depiction of a wild night involving drugs, raves, and misadventures.
  • B. Go
    "Go" is a 2015 electronic dance track by The Chemical Brothers featuring Q-Tip, known for its driving beat and distinctive, minimalist music video.
  • C. Go
    Go is an ancient East Asian abstract strategy board game, renowned for its simple rules yet immense strategic depth, played on a grid with black and white stones.
  • D. Go
    "Go" is a song by the American folk rock duo Indigo Girls, known for its introspective lyrics and melodic, harmony-rich style.
  • E. Go
    Go is a statically typed, compiled programming language developed at Google, known for its simplicity, efficient concurrency support, and suitability for scalable networked and cloud services.
  • 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3a9fd7881908ae4c5c63f64efc0 completed April 21, 2026, 12:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a090b0d847481908e4108d8bff97655 completed May 17, 2026, 12:25 a.m.
NEDg Description generation batch_6a090ba60a848190a451883326a0c198 completed May 17, 2026, 12:28 a.m.
NED2 Entity disambiguation (via description) batch_6a090fd62538819095c04324d3714371 completed May 17, 2026, 12:46 a.m.
Created at: April 16, 2026, 12:44 p.m.