Triple

T5381941
Position Surface form Disambiguated ID Type / Status
Subject Chen E113104 entity
Predicate correspondsToChineseCharacter P63661 FINISHED
Object 陳 E87685 NE FINISHED

How this triple was built (3 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: 陳 | Statement: [Chen, correspondsToChineseCharacter, 陳]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 陳
Context triple: [Chen, correspondsToChineseCharacter, 陳]
  • A. 陳 chosen
    陳 is a common Chinese surname and character with historical roots, widely used across Chinese-speaking communities and often romanized as "Chan," "Chen," or similar variants.
  • B. 趙
    趙 is a common Chinese surname with historical roots in ancient China, notably associated with the State of Zhao during the Warring States period.
  • C. Chih-chung
    Chih-chung is an alternative romanization of the Chinese given name Zhizhong, used in older or non–pinyin transcription systems.
  • D. Zhong Wen
    Zhong Wen is the tough, determined police officer portrayed by Jackie Chan in the action film "Police Story 2013."
  • E. Chen Cheng
    Chen Cheng was a prominent Chinese military leader and politician who played key roles in the Nationalist government and later served as Premier and Vice President of the Republic of China in Taiwan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: correspondsToChineseCharacter
Context triple: [Chen, correspondsToChineseCharacter, 陳]
  • A. correspondsToEnglishLetter
    Indicates that one entity is the English alphabet letter that matches, represents, or is equivalent to the other entity.
  • B. correspondsToLatinLetter
    Indicates that one entity is the counterpart or representation of another entity as a specific letter in the Latin alphabet.
  • C. hasTraditionalCharacter
    Indicates that an entity is associated with or represented by a traditional (non-simplified or historically established) written character form.
  • D. ChinesePinyin
    Indicates that one entity is the Chinese pinyin (romanized phonetic transcription) representation of another entity.
  • E. correspondsToPhoenicianLetter
    Indicates a relationship where one written symbol or character is associated with, or derived from, a specific letter of the Phoenician alphabet.
  • 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_69bd4436a1988190af18dcff7fd306b4 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd88801b188190b9ac35ed89167fa3 completed March 20, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf294cb9288190ab1400dae18332de completed March 21, 2026, 11:27 p.m.
PD Predicate disambiguation batch_69bd846172788190969f24bc7503c05e completed March 20, 2026, 5:31 p.m.
PDg Predicate description generation batch_69bd887f5b0081909456992d1a071928 completed March 20, 2026, 5:48 p.m.
Created at: March 20, 2026, 2:03 p.m.