Triple

T19682705
Position Surface form Disambiguated ID Type / Status
Subject Hossō school E472631 entity
Predicate associatedPhilosopher P603 FINISHED
Object Gyōshin
Gyōshin was a Japanese Buddhist monk and scholar of the Hossō (Yogācāra) school, known for his contributions to the development and transmission of its doctrinal teachings.
 E1426668 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: Gyōshin | Statement: [Hossō school, associatedPhilosopher, Gyōshin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gyōshin
Context triple: [Hossō school, associatedPhilosopher, Gyōshin]
  • A. Gyōda
    Gyōda is a city in Saitama Prefecture, Japan, known for its historic Oshi Castle and well-preserved traditional townscape.
  • B. Shōgen
    Shōgen was a short Japanese era of the late 13th century during the reign of Emperor Kameyama.
  • C. Tokiwa Gozen
    Tokiwa Gozen was a famed beauty and noblewoman of late Heian-period Japan, celebrated in legend for her courage and sacrifice during the Genpei War era.
  • D. Benkei
    Benkei was a legendary Japanese warrior monk famed for his fierce loyalty and service to the samurai hero Minamoto no Yoshitsune.
  • E. Sōjiji
    Sōjiji is one of the two main head temples of the Sōtō school of Zen Buddhism in Japan, serving as a major center for monastic training and religious administration.
  • 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: Gyōshin
Triple: [Hossō school, associatedPhilosopher, Gyōshin]
Generated description
Gyōshin was a Japanese Buddhist monk and scholar of the Hossō (Yogācāra) school, known for his contributions to the development and transmission of its doctrinal teachings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gyōshin
Target entity description: Gyōshin was a Japanese Buddhist monk and scholar of the Hossō (Yogācāra) school, known for his contributions to the development and transmission of its doctrinal teachings.
  • A. Gyōda
    Gyōda is a city in Saitama Prefecture, Japan, known for its historic Oshi Castle and well-preserved traditional townscape.
  • B. Shōgen
    Shōgen was a short Japanese era of the late 13th century during the reign of Emperor Kameyama.
  • C. Tokiwa Gozen
    Tokiwa Gozen was a famed beauty and noblewoman of late Heian-period Japan, celebrated in legend for her courage and sacrifice during the Genpei War era.
  • D. Benkei
    Benkei was a legendary Japanese warrior monk famed for his fierce loyalty and service to the samurai hero Minamoto no Yoshitsune.
  • E. Sōjiji
    Sōjiji is one of the two main head temples of the Sōtō school of Zen Buddhism in Japan, serving as a major center for monastic training and religious administration.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641c126b88190820281058a1e7793 completed April 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087069ce008190b409e7ba9beba1dc completed May 16, 2026, 1:26 p.m.
NEDg Description generation batch_6a0870fd8b8c8190ac7ac5d2b0d9e8c4 completed May 16, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_6a087213a0408190a9b553323d7ced1f completed May 16, 2026, 1:33 p.m.
Created at: April 10, 2026, 1:45 p.m.