Triple

T17749463
Position Surface form Disambiguated ID Type / Status
Subject Curse of the Golden Flower E443074 entity
Predicate starring P1507 FINISHED
Object Liu Ye 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: Liu Ye | Statement: [Curse of the Golden Flower, starring, Liu Ye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liu Ye
Context triple: [Curse of the Golden Flower, starring, Liu Ye]
  • A. Liu Ye chosen
    Liu Ye is a Chinese actor known for his versatile performances in both commercial blockbusters and critically acclaimed films.
  • B. Yang Ye
    Yang Ye was a famed Song dynasty military general and folk hero of the Yang clan, celebrated in Chinese history and legend for his loyalty and battlefield prowess.
  • C. Li Yan
    Li Yan, better known by his temple name Emperor Wuzong of Tang, was a ninth-century Chinese emperor of the Tang dynasty noted for his vigorous but short-lived reign and his persecution of Buddhism.
  • D. Liu Xu
    Liu Xu was a lesser-known offspring of Emperor Wu of the Han dynasty, belonging to the imperial Liu family during one of China's most powerful early empires.
  • E. Liu Cunhou
    Liu Cunhou was a Chinese military officer and warlord associated with the Yunnan clique during the early Republican era.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48418c0188190beb31809b40e4648 completed April 19, 2026, 7:28 a.m.
Created at: April 10, 2026, 10:10 a.m.