Triple

T21171340
Position Surface form Disambiguated ID Type / Status
Subject Wang Yangming E521697 entity
Predicate givenName P17 FINISHED
Object Shouren
Shouren is the given name of Wang Yangming, the influential Ming dynasty Neo-Confucian philosopher, statesman, and military general.
 E1470378 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: Shouren | Statement: [Wang Yangming, givenName, Shouren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shouren
Context triple: [Wang Yangming, givenName, Shouren]
  • A. Renshou
    Renshou was a reign era of the Sui dynasty in China, associated with Emperor Wen’s rule in the early 7th century.
  • B. Chōkai
    Chōkai was a Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in World War II, including major Pacific naval battles.
  • C. Shōryaku
    Shōryaku was a Japanese era name (nengō) of the late 10th century, used during the reign of Emperor Shirakawa.
  • D. Ryojun
    Ryojun is the former Japanese name for Lüshunkou, a strategically important port city in northeastern China historically known for its military significance.
  • E. 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.
  • 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: Shouren
Triple: [Wang Yangming, givenName, Shouren]
Generated description
Shouren is the given name of Wang Yangming, the influential Ming dynasty Neo-Confucian philosopher, statesman, and military general.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shouren
Target entity description: Shouren is the given name of Wang Yangming, the influential Ming dynasty Neo-Confucian philosopher, statesman, and military general.
  • A. Renshou
    Renshou was a reign era of the Sui dynasty in China, associated with Emperor Wen’s rule in the early 7th century.
  • B. Chōkai
    Chōkai was a Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in World War II, including major Pacific naval battles.
  • C. Shōryaku
    Shōryaku was a Japanese era name (nengō) of the late 10th century, used during the reign of Emperor Shirakawa.
  • D. Ryojun
    Ryojun is the former Japanese name for Lüshunkou, a strategically important port city in northeastern China historically known for its military significance.
  • E. 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.
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7271351f08190b609a6c280c9a02a completed April 21, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a097573a08481909695019432940d39 completed May 17, 2026, 7:59 a.m.
NEDg Description generation batch_6a09764338fc8190be908a6fa9457d18 completed May 17, 2026, 8:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0978016f188190b8e2d2c7b1b01977 completed May 17, 2026, 8:10 a.m.
Created at: April 16, 2026, 3 p.m.