Triple

T13813878
Position Surface form Disambiguated ID Type / Status
Subject Snow Flower and the Secret Fan E331962 entity
Predicate starring P1507 FINISHED
Object Russell Wong E594167 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: Russell Wong | Statement: [Snow Flower and the Secret Fan, starring, Russell Wong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russell Wong
Context triple: [Snow Flower and the Secret Fan, starring, Russell Wong]
  • A. Russell Wong chosen
    Russell Wong is an American actor and martial artist best known for his roles in action films and television series, often portraying skilled fighters or law enforcement characters.
  • B. Victor Wong
    Victor Wong was an American character actor known for his distinctive presence in films such as "The Last Emperor," "Big Trouble in Little China," and "Tremors."
  • C. Stephen Wong
    Stephen Wong is a technology entrepreneur best known as a founder of the software company Embarcadero Technologies.
  • D. Ronald Cheng
    Ronald Cheng is a Hong Kong actor and Cantopop singer known for his comedic film roles and successful music career.
  • E. Richard Wong
    Richard Wong is a cinematographer and filmmaker known for his work on feature films such as "Snow Flower and the Secret Fan."
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de027198f8819095da3e714ac241f5 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c70454a8819097b5e5091f84be33 completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:12 p.m.