Triple

T9092892
Position Surface form Disambiguated ID Type / Status
Subject Katsuya E217933 entity
Predicate canBeWrittenAs P12679 FINISHED
Object カツヤ
カツヤ is a common Japanese male given name that can be written with various kanji combinations, often carrying meanings related to victory or excellence.
 E777780 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: カツヤ | Statement: [Katsuya, canBeWrittenAs, カツヤ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: カツヤ
Context triple: [Katsuya, canBeWrittenAs, カツヤ]
  • A. Tsubami
    Tsubami is one of the official bird mascots of the Tokyo Yakult Swallows baseball team, known for her cute design and energetic support of the club.
  • B. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • C. Yamabiko
    Yamabiko is a high-speed Shinkansen train service in Japan that operates on the Tōhoku Shinkansen line, connecting Tokyo with northern regions such as Sendai.
  • D. Yamanakako
    Yamanakako is a village in Yamanashi Prefecture, Japan, known for Lake Yamanaka, one of the Fuji Five Lakes located near Mount Fuji.
  • E. Kusamakura
    Kusamakura is a 1906 novel by Natsume Sōseki that blends poetic prose, philosophical reflection, and aesthetic contemplation through the journey of an artist in a remote mountain hot-spring village.
  • 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: カツヤ
Triple: [Katsuya, canBeWrittenAs, カツヤ]
Generated description
カツヤ is a common Japanese male given name that can be written with various kanji combinations, often carrying meanings related to victory or excellence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: カツヤ
Target entity description: カツヤ is a common Japanese male given name that can be written with various kanji combinations, often carrying meanings related to victory or excellence.
  • A. Tsubami
    Tsubami is one of the official bird mascots of the Tokyo Yakult Swallows baseball team, known for her cute design and energetic support of the club.
  • B. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • C. Yamabiko
    Yamabiko is a high-speed Shinkansen train service in Japan that operates on the Tōhoku Shinkansen line, connecting Tokyo with northern regions such as Sendai.
  • D. Yamanakako
    Yamanakako is a village in Yamanashi Prefecture, Japan, known for Lake Yamanaka, one of the Fuji Five Lakes located near Mount Fuji.
  • E. Kusamakura
    Kusamakura is a 1906 novel by Natsume Sōseki that blends poetic prose, philosophical reflection, and aesthetic contemplation through the journey of an artist in a remote mountain hot-spring village.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b347d4819085b33d0e20834f47 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017f85c908190a4e90c22a75348b5 completed April 3, 2026, 7:41 p.m.
NEDg Description generation batch_69d019652fe8819096cccb8cff431261 completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d01a290de881909482b7eb70bef0e3 completed April 3, 2026, 7:51 p.m.
Created at: March 30, 2026, 7:14 p.m.