Triple

T17641078
Position Surface form Disambiguated ID Type / Status
Subject Min (Chinese surname) E429227 entity
Predicate scriptForm P9329 FINISHED
Object 闵
闵 is a relatively uncommon Chinese surname with historical roots and usage in various Chinese-speaking regions.
 E1278793 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: 闵 | Statement: [Min (Chinese surname), scriptForm, 闵]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 闵
Context triple: [Min (Chinese surname), scriptForm, 闵]
  • A. 朱
    朱 is a common Chinese surname with historical roots and notable bearers across Chinese-speaking communities.
  • B. 刘
    刘 is a common Chinese surname and given name character, historically associated with several prominent clans and figures in Chinese history.
  • C. 苏
    苏 is the standard Chinese abbreviation used to refer to Jiangsu Province in eastern China.
  • D. 聂
    聂 is a Chinese surname commonly used in mainland China, associated with various historical and contemporary figures.
  • E. 詹
    詹 is a Chinese surname and character commonly romanized as "Chan" in Cantonese.
  • 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: 闵
Triple: [Min (Chinese surname), scriptForm, 闵]
Generated description
闵 is a relatively uncommon Chinese surname with historical roots and usage in various Chinese-speaking regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 闵
Target entity description: 闵 is a relatively uncommon Chinese surname with historical roots and usage in various Chinese-speaking regions.
  • A. 朱
    朱 is a common Chinese surname with historical roots and notable bearers across Chinese-speaking communities.
  • B. 刘
    刘 is a common Chinese surname and given name character, historically associated with several prominent clans and figures in Chinese history.
  • C. 苏
    苏 is the standard Chinese abbreviation used to refer to Jiangsu Province in eastern China.
  • D. 聂
    聂 is a Chinese surname commonly used in mainland China, associated with various historical and contemporary figures.
  • E. 詹
    詹 is a Chinese surname and character commonly romanized as "Chan" in Cantonese.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de50bf481909e938613b38f0202 completed April 19, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a020aa7be948190bf0ab64a2908d3b1 completed May 11, 2026, 4:58 p.m.
NEDg Description generation batch_6a020b51c208819083b1634221929628 completed May 11, 2026, 5:01 p.m.
NED2 Entity disambiguation (via description) batch_6a020bd466d881909ffdfe3cf932b980 completed May 11, 2026, 5:03 p.m.
Created at: April 10, 2026, 6:02 a.m.