Triple

T15591329
Position Surface form Disambiguated ID Type / Status
Subject Teng E374749 entity
Predicate hasVariantTransliteration P5923 FINISHED
Object Deng E551174 NE FINISHED

How this triple was built (2 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: Deng | Statement: [Teng, hasVariantTransliteration, Deng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deng
Context triple: [Teng, hasVariantTransliteration, Deng]
  • A. Deng chosen
    Deng is a common Chinese surname borne by numerous notable figures in politics, military, arts, and other fields.
  • B. Chén Píng
    Chén Píng is the pinyin romanization of the Chinese name 陳平, which may refer to various individuals in Chinese history or contemporary society.
  • C. Deng Wenge
    Deng Wenge is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
  • D. Deng Wenge
    Deng Wenge, better known as Wendi Deng, is a Chinese-American businesswoman and film producer widely recognized as the former wife of media mogul Rupert Murdoch.
  • E. Deng Xiaoping
    Deng Xiaoping was a Chinese revolutionary and paramount leader who, after Mao Zedong, steered China toward market-oriented economic reforms while maintaining Communist Party control.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4b903c8190a35f9267cb38e721 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c55fa248190b114a5b63560f87b completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:11 a.m.