Triple

T21273158
Position Surface form Disambiguated ID Type / Status
Subject Zhang Zai E524319 entity
Predicate courtesyName P570 FINISHED
Object Zihou
Zihou is the courtesy name of Zhang Zai, an influential 11th-century Chinese Neo-Confucian philosopher of the Song dynasty.
 E1474879 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: Zihou | Statement: [Zhang Zai, courtesyName, Zihou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zihou
Context triple: [Zhang Zai, courtesyName, Zihou]
  • A. Ñuu Dzahui
    Ñuu Dzahui is the endonym used by the Mixtec people to refer to themselves and their traditional homeland in the region of present-day Oaxaca, Mexico.
  • B. Shizhen
    Shizhen is the given name of Li Shizhen, the renowned Ming dynasty physician and naturalist best known for compiling the monumental Chinese medical text "Compendium of Materia Medica."
  • C. Yulu
    Yulu is a Central Sudanic language spoken by the Yulu people primarily in parts of South Sudan and the Central African Republic.
  • D. Zihuan
    Zihuan is the courtesy name of Cao Pi, the first emperor of the state of Cao Wei during China’s Three Kingdoms period.
  • E. Zigua
    The Zigua are a Bantu-speaking ethnic group of northeastern Tanzania known for their rich oral traditions and agriculture-based livelihoods.
  • 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: Zihou
Triple: [Zhang Zai, courtesyName, Zihou]
Generated description
Zihou is the courtesy name of Zhang Zai, an influential 11th-century Chinese Neo-Confucian philosopher of the Song dynasty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zihou
Target entity description: Zihou is the courtesy name of Zhang Zai, an influential 11th-century Chinese Neo-Confucian philosopher of the Song dynasty.
  • A. Ñuu Dzahui
    Ñuu Dzahui is the endonym used by the Mixtec people to refer to themselves and their traditional homeland in the region of present-day Oaxaca, Mexico.
  • B. Shizhen
    Shizhen is the given name of Li Shizhen, the renowned Ming dynasty physician and naturalist best known for compiling the monumental Chinese medical text "Compendium of Materia Medica."
  • C. Yulu
    Yulu is a Central Sudanic language spoken by the Yulu people primarily in parts of South Sudan and the Central African Republic.
  • D. Zihuan
    Zihuan is the courtesy name of Cao Pi, the first emperor of the state of Cao Wei during China’s Three Kingdoms period.
  • E. Zigua
    The Zigua are a Bantu-speaking ethnic group of northeastern Tanzania known for their rich oral traditions and agriculture-based livelihoods.
  • 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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73654ba148190a2eb0a06363cbd0b completed April 21, 2026, 8:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099006e7c081908aceb2a0574de81e completed May 17, 2026, 9:53 a.m.
NEDg Description generation batch_6a0990b9b7c8819094f7db294c2e573d completed May 17, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_6a0991cdf6408190a590d8907f2fe880 completed May 17, 2026, 10 a.m.
Created at: April 16, 2026, 4:01 p.m.