Triple

T19538255
Position Surface form Disambiguated ID Type / Status
Subject President of the University of Missouri System E488823 entity
Predicate positionHeldBy P8 FINISHED
Object Mun Choi NE NERFINISHED

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: Mun Choi | Statement: [President of the University of Missouri System, positionHeldBy, Mun Choi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mun Choi
Context triple: [President of the University of Missouri System, positionHeldBy, Mun Choi]
  • A. Mun Choi chosen
    Mun Choi is a Korean-American engineer and academic administrator who serves as a prominent university leader in the United States.
  • B. Tendo Choi
    Tendo Choi is a Jaeger pilot and key member of the Pan Pacific Defense Corps in the Pacific Rim universe, known for co-piloting the Mark-3 Jaeger Crimson Typhoon.
  • C. Man Choi
    Man Choi is a bumbling yet brave Taoist disciple and comic sidekick in the Hong Kong horror-comedy film "Mr. Vampire."
  • D. Ming Lee
    Ming Lee is the strict yet loving mother of protagonist Meilin in Pixar's animated film "Turning Red," whose own emotional struggles and family legacy drive much of the story's conflict and heart.
  • E. Wai Ching Ho
    Wai Ching Ho is a Chinese-American actress known for her character roles in film and television, including work in major Hollywood productions and voice acting in animated features.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e638710b8c81908335535869fc9130 completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.