Triple

T12729382
Position Surface form Disambiguated ID Type / Status
Subject Kyuji Fujikawa E304191 entity
Predicate givenName P17 FINISHED
Object Kyuji
Kyuji is a Japanese former professional baseball pitcher best known for his long career as a dominant closer with the Hanshin Tigers in Nippon Professional Baseball.
 E1001667 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: Kyuji | Statement: [Kyuji Fujikawa, givenName, Kyuji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kyuji
Context triple: [Kyuji Fujikawa, givenName, Kyuji]
  • A. Yuji
    Yuji is a common Japanese masculine given name used by various real and fictional individuals.
  • B. Kiba
    Kiba is a district in Tokyo’s Kōtō ward known for its history as a lumberyard area and its large urban green space, Kiba Park.
  • C. Kojiro
    Kojiro is a masculine Japanese given name that can be written with various kanji and is borne by multiple real and fictional figures.
  • D. Ryūō
    Ryūō is a town in Shiga Prefecture, Japan, known for its location near Lake Biwa and its blend of rural landscapes with growing commercial development.
  • E. Kinsaku
    Kinsaku is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and literary figure.
  • 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: Kyuji
Triple: [Kyuji Fujikawa, givenName, Kyuji]
Generated description
Kyuji is a Japanese former professional baseball pitcher best known for his long career as a dominant closer with the Hanshin Tigers in Nippon Professional Baseball.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kyuji
Target entity description: Kyuji is a Japanese former professional baseball pitcher best known for his long career as a dominant closer with the Hanshin Tigers in Nippon Professional Baseball.
  • A. Yuji
    Yuji is a common Japanese masculine given name used by various real and fictional individuals.
  • B. Kiba
    Kiba is a district in Tokyo’s Kōtō ward known for its history as a lumberyard area and its large urban green space, Kiba Park.
  • C. Kojiro
    Kojiro is a masculine Japanese given name that can be written with various kanji and is borne by multiple real and fictional figures.
  • D. Ryūō
    Ryūō is a town in Shiga Prefecture, Japan, known for its location near Lake Biwa and its blend of rural landscapes with growing commercial development.
  • E. Kinsaku
    Kinsaku is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and literary figure.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964172490819080cd022ff8290b6e completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684e7dec08190b522a8f3bfde6fe2 completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f685dac5cc8190b4bc2d81186c9266 completed May 2, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_69f6869156048190b548ecd04561deb8 completed May 2, 2026, 11:19 p.m.
Created at: April 9, 2026, 5:25 p.m.