Triple

T16274293
Position Surface form Disambiguated ID Type / Status
Subject Christopher Doyle E395084 entity
Predicate alsoKnownAs P39 FINISHED
Object Dù Kēfēng
Dù Kēfēng is the Chinese name of Christopher Doyle, an acclaimed Australian-Hong Kong cinematographer renowned for his visually striking work on many of Wong Kar-wai’s films.
E1204610 NE FINISHED

How this triple was built (4 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: Dù Kēfēng | Statement: [Christopher Doyle, alsoKnownAs, Dù Kēfēng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dù Kēfēng
Context triple: [Christopher Doyle, alsoKnownAs, Dù Kēfēng]
  • A. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • B. Qinghe
    Qinghe is a subdistrict in Beijing’s Haidian District, known primarily as a residential and administrative area within the city’s northwestern urban zone.
  • C. Jingkang
    Jingkang was the final era name of the Northern Song dynasty, marking the tumultuous period that culminated in the Jingkang Incident and the dynasty’s fall to the Jurchen Jin.
  • D. Xingyuan
    Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
  • E. Yanjing
    Yanjing was a historic Chinese capital city, best known as the former name of modern-day Beijing.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dù Kēfēng
Triple: [Christopher Doyle, alsoKnownAs, Dù Kēfēng]
Generated description
Dù Kēfēng is the Chinese name of Christopher Doyle, an acclaimed Australian-Hong Kong cinematographer renowned for his visually striking work on many of Wong Kar-wai’s films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dù Kēfēng
Target entity description: Dù Kēfēng is the Chinese name of Christopher Doyle, an acclaimed Australian-Hong Kong cinematographer renowned for his visually striking work on many of Wong Kar-wai’s films.
  • A. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • B. Qinghe
    Qinghe is a subdistrict in Beijing’s Haidian District, known primarily as a residential and administrative area within the city’s northwestern urban zone.
  • C. Jingkang
    Jingkang was the final era name of the Northern Song dynasty, marking the tumultuous period that culminated in the Jingkang Incident and the dynasty’s fall to the Jurchen Jin.
  • D. Xingyuan
    Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
  • E. Yanjing
    Yanjing was a historic Chinese capital city, best known as the former name of modern-day Beijing.
  • F. None of above. chosen

Provenance (5 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460c2d948190813b66e539a64a70 completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c0ef4c8190b44ac84f71b2ed41 completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a001a35b43081909b44a22798b1ef1b completed May 10, 2026, 5:40 a.m.
NED2 Entity disambiguation (via description) batch_6a001a93530c81908cb4180d9ebe9850 completed May 10, 2026, 5:41 a.m.
Created at: April 10, 2026, 5:05 a.m.