Triple

T735511
Position Surface form Disambiguated ID Type / Status
Subject Chan E14920 entity
Predicate transliteratesToPinyin P2508 FINISHED
Object Zeng
Zeng is a Chinese surname and given name commonly rendered in pinyin and borne by numerous historical and contemporary figures in China.
E89334 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: Zeng | Statement: [Chan, transliteratesToPinyin, Zeng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zeng
Context triple: [Chan, transliteratesToPinyin, Zeng]
  • A. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • B. Zhao
    Zhao is a common Chinese surname, historically borne by some members of the Jewish community of Kaifeng in China.
  • C. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • D. Gao
    Gao is a Chinese surname historically associated with the Jewish community of Kaifeng, one of the oldest Jewish diasporas in China.
  • E. Xiao Zisheng
    Xiao Zisheng was a Chinese educator, writer, and early associate of Mao Zedong who played a significant role in introducing Western ideas and promoting modern education in early 20th-century China.
  • 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: Zeng
Triple: [Chan, transliteratesToPinyin, Zeng]
Generated description
Zeng is a Chinese surname and given name commonly rendered in pinyin and borne by numerous historical and contemporary figures in China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zeng
Target entity description: Zeng is a Chinese surname and given name commonly rendered in pinyin and borne by numerous historical and contemporary figures in China.
  • A. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • B. Zhao
    Zhao is a common Chinese surname, historically borne by some members of the Jewish community of Kaifeng in China.
  • C. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • D. Gao
    Gao is a Chinese surname historically associated with the Jewish community of Kaifeng, one of the oldest Jewish diasporas in China.
  • E. Xiao Zisheng
    Xiao Zisheng was a Chinese educator, writer, and early associate of Mao Zedong who played a significant role in introducing Western ideas and promoting modern education in early 20th-century China.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aa9ba3888190889a1ad554f73c5e completed March 1, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654e1d10c8190b69b30cc70add604 completed March 3, 2026, 3:26 a.m.
NEDg Description generation batch_69a6557837bc8190a2868cb661f2f2e6 completed March 3, 2026, 3:28 a.m.
NED2 Entity disambiguation (via description) batch_69a6560a55e881909a37e503b82b35f3 completed March 3, 2026, 3:31 a.m.
Created at: March 1, 2026, 7:37 p.m.