Triple

T13911705
Position Surface form Disambiguated ID Type / Status
Subject The Meg E334512 entity
Predicate castMember P1668 FINISHED
Object Li Bingbing E1065291 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: Li Bingbing | Statement: [The Meg, castMember, Li Bingbing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Li Bingbing
Context triple: [The Meg, castMember, Li Bingbing]
  • A. Li Bingbing chosen
    Li Bingbing is a Chinese actress known internationally for her roles in both Chinese cinema and Hollywood films, including action and science fiction blockbusters.
  • B. Lee Ping-bing
    Lee Ping-bing is a renowned Taiwanese cinematographer celebrated for his lyrical visual style and collaborations with prominent Asian auteurs such as Hou Hsiao-hsien and Wong Kar-wai.
  • C. Zhou Xun
    Zhou Xun is a renowned Chinese actress and singer celebrated for her versatile performances in film and television and regarded as one of the leading figures of contemporary Chinese cinema.
  • D. Tang Wei
    Tang Wei is a Chinese actress best known internationally for her breakout leading role in Ang Lee’s espionage thriller film "Lust, Caution."
  • E. Zhou Dongyu
    Zhou Dongyu is a prominent Chinese actress acclaimed for her versatile performances in films such as "Under the Hawthorn Tree" and "Soul Mate," for which she has received multiple major acting awards.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2723461881908376b5509ee0d530 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1c26ba08190b19560123691fda4 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:16 p.m.