Triple

T16785817
Position Surface form Disambiguated ID Type / Status
Subject The Fatal Hour E407969 entity
Predicate featuresDetective P63938 FINISHED
Object Mr. Wong E403202 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: Mr. Wong | Statement: [The Fatal Hour, featuresDetective, Mr. Wong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Wong
Context triple: [The Fatal Hour, featuresDetective, Mr. Wong]
  • A. Mr. Wong chosen
    Mr. Wong is the enigmatic criminal mastermind and primary antagonist in the 1934 mystery film "The Mysterious Mr. Wong."
  • B. Herb Wong
    Herb Wong is a jazz educator, producer, and longtime radio broadcaster known for his influential role in promoting and documenting West Coast jazz.
  • C. Jimmy Woo
    Jimmy Woo is a Marvel Comics and Marvel Cinematic Universe character, depicted as an earnest and by-the-book FBI agent who often becomes entangled in superhero-related investigations.
  • D. Señor Chang
    Señor Chang is the unhinged, often antagonistic Spanish teacher-turned-student from the TV series "Community," known for his erratic behavior and over-the-top antics.
  • E. Thai Lee
    Thai Lee is a Korean-American entrepreneur and business executive best known as the co-founder, president, and CEO of SHI International, one of the largest woman-owned technology solutions providers in the United States.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b21a52ac8190b4374aa0fc45683a completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab07bdcc819086479178e5b8b679 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:22 a.m.