Triple

T13256300
Position Surface form Disambiguated ID Type / Status
Subject Maze Runner: The Scorch Trials E315665 entity
Predicate castMember P1668 FINISHED
Object Ki Hong Lee E863490 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: Ki Hong Lee | Statement: [Maze Runner: The Scorch Trials, castMember, Ki Hong Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ki Hong Lee
Context triple: [Maze Runner: The Scorch Trials, castMember, Ki Hong Lee]
  • A. Ki Hong Lee chosen
    Ki Hong Lee is a Korean-American actor best known for his role as Minho in the Maze Runner film series.
  • B. Jin Lee
    Jin Lee is the gentle, supportive father of protagonist Meilin "Mei" Lee in Pixar's animated film "Turning Red."
  • C. Michael Kang
    Michael Kang is an American musician best known as a multi-instrumentalist and prominent member of the jam band The String Cheese Incident.
  • D. Jae Lee
    Jae Lee is a distinctive comic book artist known for his dark, atmospheric style on titles such as Marvel’s Inhumans and various Batman and Superman projects.
  • E. Will Yun Lee
    Will Yun Lee is an American actor and martial artist known for his roles in films like "Die Another Day" and "The Wolverine" and TV series such as "Altered Carbon" and "Hawaii Five-0."
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f7614fc8190a1cac076d706e9aa completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a4240d881909f0ee898fd272826 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:24 p.m.