Triple

T10226281
Position Surface form Disambiguated ID Type / Status
Subject The Scorpion King E243211 entity
Predicate castMember P1668 FINISHED
Object Kelly Hu E457327 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: Kelly Hu | Statement: [The Scorpion King, castMember, Kelly Hu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kelly Hu
Context triple: [The Scorpion King, castMember, Kelly Hu]
  • A. Kelly Hu chosen
    Kelly Hu is an American actress and former beauty queen known for her roles in films and television series such as "The Scorpion King," "X2: X-Men United," and various voice-acting projects.
  • B. Kelly Chan
    Kelly Chan is a Hong Kong Cantopop singer and actress known for her popularity in the late 1990s and 2000s.
  • C. Gui Lai
    Gui Lai is the Chinese title of the 2014 drama film "Coming Home," directed by Zhang Yimou and starring Gong Li, about a family torn apart and reunited during the aftermath of China's Cultural Revolution.
  • D. Jennifer Lien
    Jennifer Lien is an American actress best known for her role as Kes on the television series "Star Trek: Voyager."
  • E. Jean Liu
    Jean Liu is a prominent Chinese business executive and technology entrepreneur best known for her leadership role in ride-hailing giant Didi Chuxing.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d1f9cf6c81909a6b9e9b9d0a79fe completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f71fb4048190a36f1fe499729332 completed April 9, 2026, 12:47 a.m.
Created at: April 6, 2026, 11:17 a.m.