Triple

T8239178
Position Surface form Disambiguated ID Type / Status
Subject Ong Boon Hua E192488 entity
Predicate alsoKnownAs P39 FINISHED
Object 陈平 E189839 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: 陈平 | Statement: [Ong Boon Hua, alsoKnownAs, 陈平]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 陈平
Context triple: [Ong Boon Hua, alsoKnownAs, 陈平]
  • A. 陳平 chosen
    陳平, better known internationally as Chin Peng, was the longtime leader of the Malayan Communist Party and a key figure in the Malayan Emergency against British colonial rule.
  • B. Zhang Liang
    Zhang Liang was a key military leader and strategist during the late Eastern Han dynasty, notably associated with the Yellow Turban Rebellion.
  • C. Zhu Jianshen
    Zhu Jianshen, better known as the Chenghua Emperor, was a Ming dynasty ruler whose long reign saw both cultural flourishing and increasing court corruption in 15th-century China.
  • D. Zhang Yi
    Zhang Yi was a prominent strategist and diplomat of the Warring States period, best known for serving the state of Qin and advancing its power through his advocacy of the "vertical and horizontal alliances" (zongheng) political strategy.
  • E. Peng Xiaolian
    Peng Xiaolian was a prominent Chinese film director and screenwriter known for her nuanced portrayals of women's lives and Shanghai's urban culture.
  • 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_69ca82dc8f148190a2c75a98501a7b91 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb783cce5c8190bf116704d2923ade completed March 31, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd350f57d48190ae2f24d136bb3eee completed April 1, 2026, 3:09 p.m.
Created at: March 30, 2026, 5:47 p.m.