Triple

T3772881
Position Surface form Disambiguated ID Type / Status
Subject Indiana Jones and the Temple of Doom E83236 entity
Predicate stars P1956 FINISHED
Object Ke Huy Quan E70281 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: Ke Huy Quan | Statement: [Indiana Jones and the Temple of Doom, stars, Ke Huy Quan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ke Huy Quan
Context triple: [Indiana Jones and the Temple of Doom, stars, Ke Huy Quan]
  • A. Ke Huy Quan chosen
    Ke Huy Quan is a Vietnamese-American actor and former child star best known for his comeback role in "Everything Everywhere All at Once," which earned him widespread critical acclaim and major awards.
  • B. James Hong
    James Hong is a prolific American character actor and voice actor known for his roles in films like "Big Trouble in Little China," "Blade Runner," and numerous animated features.
  • C. Roger Yuan
    Roger Yuan is an American martial artist, fight choreographer, and actor known for his roles and stunt work in numerous action films.
  • D. Jamie Chen
    Jamie Chen is known as the spouse of Steve Chen, the co-founder of YouTube.
  • E. 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.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc57c9e48190a0f254e47348bf32 completed March 8, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e52bb2d08190b457dd517ff366d7 completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:36 p.m.