Triple

T18794375
Position Surface form Disambiguated ID Type / Status
Subject Tencent Holdings Limited E459594 entity
Predicate foundedBy P104 FINISHED
Object Zeng Liqing NE NERFINISHED

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: Zeng Liqing | Statement: [Tencent Holdings Limited, foundedBy, Zeng Liqing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zeng Liqing
Context triple: [Tencent Holdings Limited, foundedBy, Zeng Liqing]
  • A. Zeng Liqing chosen
    Zeng Liqing is a Chinese entrepreneur best known as one of the co-founders of the technology and internet conglomerate Tencent.
  • B. Zeng Qinghong
    Zeng Qinghong is a Chinese politician who served as Vice President of the People’s Republic of China and was a key power broker within the Chinese Communist Party in the early 2000s.
  • C. Zhang Qingwei
    Zhang Qingwei is a Chinese aerospace engineer and politician who has held senior roles in China’s space program and in provincial leadership.
  • D. Zeng Wei
    Zeng Wei is a Chinese businessman known primarily as the son of former Chinese vice president and high-ranking Communist Party official Zeng Qinghong.
  • E. Zhou Jingzhi
    Zhou Jingzhi is a Chinese screenwriter best known for co-writing the historical drama film "Curse of the Golden Flower" directed by Zhang Yimou.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a01cc0c0819098ef4326e82ff524 completed April 20, 2026, 3:40 a.m.
Created at: April 10, 2026, 11:53 a.m.