Triple

T12231886
Position Surface form Disambiguated ID Type / Status
Subject Shang-Chi E291493 entity
Predicate portrayedBy P1507 FINISHED
Object Simu Liu E126872 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: Simu Liu | Statement: [Shang-Chi, portrayedBy, Simu Liu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simu Liu
Context triple: [Shang-Chi, portrayedBy, Simu Liu]
  • A. Simu Liu chosen
    Simu Liu is a Chinese Canadian actor best known for starring as the Marvel superhero Shang-Chi and appearing in the sitcom "Kim's Convenience" and the film "Barbie."
  • B. Benedict Wong
    Benedict Wong is a British actor best known for his roles in films such as Marvel’s Doctor Strange series, The Martian, and Sunshine, as well as numerous television and stage productions.
  • C. Sung Kang
    Sung Kang is an American actor best known for his role as Han Lue in the Fast & Furious film franchise.
  • D. John Cho
    John Cho is a Korean American actor best known for his roles in the "Harold & Kumar" comedy series and as Hikaru Sulu in the rebooted "Star Trek" film franchise.
  • E. Jai Courtney
    Jai Courtney is an Australian actor known for his roles in action and blockbuster films such as the Divergent series, A Good Day to Die Hard, and Suicide Squad.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca45bd48190b8b7f6b29b6bb25b completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aad2d488190ba36588e3376ca1a completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.