Triple

T9802430
Position Surface form Disambiguated ID Type / Status
Subject Chow Yun-fat E237870 entity
Predicate workedWith P398 FINISHED
Object Tsui Hark E544101 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: Tsui Hark | Statement: [Chow Yun-fat, workedWith, Tsui Hark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsui Hark
Context triple: [Chow Yun-fat, workedWith, Tsui Hark]
  • A. Tsui Hark chosen
    Tsui Hark is a pioneering Hong Kong filmmaker renowned for revolutionizing the action and wuxia genres with his visually inventive, high-energy directing style.
  • B. Ann Hui
    Ann Hui is an acclaimed Hong Kong film director and key figure of the Hong Kong New Wave, known for her socially conscious, character-driven dramas.
  • C. Tsai Chou-hua
    Tsai Chou-hua was the wife of Yen Chia-kan, who served as President of the Republic of China (Taiwan) in the 1970s.
  • D. Yam Kim-fai
    Yam Kim-fai was a legendary Cantonese opera star renowned for her charismatic male "sheng" roles and lasting influence on Hong Kong’s performing arts.
  • E. Wong Kar-wai
    Wong Kar-wai is a Hong Kong filmmaker renowned for his visually lush, emotionally resonant films that explore memory, longing, and urban alienation, such as "Chungking Express" and "In the Mood for Love."
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda62b41048190bcef70a7591830c6 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc53c3dc819084a4d8b72164a172 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:29 p.m.