Triple

T13872561
Position Surface form Disambiguated ID Type / Status
Subject Wu Lei E333490 entity
Predicate name P16 FINISHED
Object Wu Lei E333490 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: Wu Lei | Statement: [Wu Lei, name, Wu Lei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wu Lei
Context triple: [Wu Lei, name, Wu Lei]
  • A. Wu Lei chosen
    Wu Lei is a prominent Chinese actor and former child star known for his roles in popular television dramas and films.
  • B. Zhang Xiyuan
    Zhang Xiyuan was the first wife of Chinese leader Deng Xiaoping, with whom he was briefly married in the early 1920s before her early death.
  • C. Zou Jingzhi
    Zou Jingzhi is a Chinese screenwriter and playwright known for his work on acclaimed films and television dramas, including collaborations with director Zhang Yimou.
  • D. Wu Shu-chen
    Wu Shu-chen is a Taiwanese politician and human rights advocate, best known as the wife of former President Chen Shui-bian and for her prominent role in Taiwan’s pro-democracy movement.
  • E. Li Chengqian
    Li Chengqian was the ill-fated crown prince of the Tang dynasty who was deposed after plotting against his father, Emperor Taizong.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c638248190bbe5d19f7b88d0f9 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c107c20c81909dff0ca4a59fcc55 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.