Triple

T21369331
Position Surface form Disambiguated ID Type / Status
Subject Zeng Liqing E527009 entity
Predicate coFounded P104 FINISHED
Object Tencent 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: Tencent | Statement: [Zeng Liqing, coFounded, Tencent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tencent
Context triple: [Zeng Liqing, coFounded, Tencent]
  • A. Tencent chosen
    Tencent is a Chinese multinational technology and entertainment conglomerate known for its dominant social media, gaming, and digital services platforms such as WeChat and QQ.
  • B. NetEase
    NetEase is a major Chinese technology and video game company known for developing and operating popular online and mobile games, often in partnership with global publishers like Blizzard Entertainment.
  • C. Sina Corporation
    Sina Corporation is a Chinese technology company best known for operating major online media and social networking platforms, including the popular microblogging service Weibo.
  • D. Tencent Music Entertainment Group
    Tencent Music Entertainment Group is a leading Chinese online music and audio entertainment company that operates major streaming platforms and social entertainment services in China.
  • E. Tencent Pictures
    Tencent Pictures is the film production and distribution arm of Chinese tech giant Tencent, known for co-financing and producing major Chinese and international movies.
  • 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0ad04e081908ff02b2ee2bc7485 completed April 22, 2026, 11:27 a.m.
Created at: April 16, 2026, 5:09 p.m.