Triple

T3826745
Position Surface form Disambiguated ID Type / Status
Subject Chinese American cinema E88707 entity
Predicate notableActor P7010 FINISHED
Object Lucy Liu E259920 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: Lucy Liu | Statement: [Chinese American cinema, notableActor, Lucy Liu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucy Liu
Context triple: [Chinese American cinema, notableActor, Lucy Liu]
  • A. Lucy Liu chosen
    Lucy Liu is an American actress and producer known for her versatile roles in film and television, including standout performances in projects like "Ally McBeal," "Kill Bill," and "Elementary."
  • B. Zoë Chao
    Zoë Chao is an American actress and writer known for her work in film and television, including prominent roles in indie comedies and streaming series.
  • C. Ming-Na Wen
    Ming-Na Wen is a Chinese-American actress best known for her roles in projects like ER, Agents of S.H.I.E.L.D., and various Disney productions.
  • D. Nia Long
    Nia Long is an American actress known for her roles in films like "Boyz n the Hood," "Love Jones," and "The Best Man," as well as the TV series "The Fresh Prince of Bel-Air."
  • E. Michelle Yeoh
    Michelle Yeoh is an acclaimed Malaysian actress and former martial artist best known for her roles in films such as Crouching Tiger, Hidden Dragon, Tomorrow Never Dies, and the Oscar-winning Everything Everywhere All at Once.
  • 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_69aed9538cf881909d9ce8ca4ac7c18c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb64c72c8190b5f3d376aa4ee933 completed March 9, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503f9df8c8190b42c544e827d6c76 completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:17 p.m.