Triple

T12412884
Position Surface form Disambiguated ID Type / Status
Subject Burt Kwouk E296561 entity
Predicate name P16 FINISHED
Object Burt Kwouk E296561 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: Burt Kwouk | Statement: [Burt Kwouk, name, Burt Kwouk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burt Kwouk
Context triple: [Burt Kwouk, name, Burt Kwouk]
  • A. Burt Kwouk chosen
    Burt Kwouk was a British actor best known for his comedic role as Cato Fong in the Pink Panther film series.
  • B. Eddie Wu
    Eddie Wu is a Chinese entrepreneur and technology executive best known as a co-founder and later CEO of Alibaba Group.
  • C. Victor Sen Yung
    Victor Sen Yung was a Chinese American character actor best known for his roles as Hop Sing on the television series "Bonanza" and as Jimmy Chan in the Charlie Chan film series.
  • D. Peter Kwong
    Peter Kwong is an American character actor best known for his roles in genre films and television, including cult favorites from the 1980s and 1990s.
  • E. James Lee Wong
    James Lee Wong is a fictional Chinese-American detective featured in a series of mystery stories and films, notably portrayed by Boris Karloff in several 1930s and 1940s movies.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6b0f9c8190813b6fe3f97570ac completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6348ccaf88190aeb0dfb7fe1d8dec completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.