Triple

T8369495
Position Surface form Disambiguated ID Type / Status
Subject Ông Công Ông Táo E197417 entity
Predicate component P35 FINISHED
Object Ông Táo
Ông Táo is the Vietnamese Kitchen God who oversees the household’s affairs and reports them annually to the Jade Emperor in heaven.
 E727063 NE FINISHED

How this triple was built (4 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: Ông Táo | Statement: [Ông Công Ông Táo, component, Ông Táo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ông Táo
Context triple: [Ông Công Ông Táo, component, Ông Táo]
  • A. Mike Teavee
    Mike Teavee is a television-obsessed, video game–addicted boy whose bratty behavior and fixation on screens lead to his comically disastrous fate during Willy Wonka’s factory tour.
  • B. Tony
    The Tony is a prestigious American theater award presented annually to recognize excellence in Broadway productions.
  • C. Tony
    Tony is a fictional character from the animated series "Wild Target," known for his adventurous role within the show's ensemble cast.
  • D. Tony
    Tony is the idealistic young protagonist of the musical *West Side Story*, whose forbidden love for Maria drives the story’s modern retelling of *Romeo and Juliet* in 1950s New York.
  • E. Tony
    Tony is the NATO reporting name for the Japanese World War II Kawasaki Ki-61 fighter aircraft.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ông Táo
Triple: [Ông Công Ông Táo, component, Ông Táo]
Generated description
Ông Táo is the Vietnamese Kitchen God who oversees the household’s affairs and reports them annually to the Jade Emperor in heaven.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ông Táo
Target entity description: Ông Táo is the Vietnamese Kitchen God who oversees the household’s affairs and reports them annually to the Jade Emperor in heaven.
  • A. Mike Teavee
    Mike Teavee is a television-obsessed, video game–addicted boy whose bratty behavior and fixation on screens lead to his comically disastrous fate during Willy Wonka’s factory tour.
  • B. Tony
    The Tony is a prestigious American theater award presented annually to recognize excellence in Broadway productions.
  • C. Tony
    Tony is a fictional character from the animated series "Wild Target," known for his adventurous role within the show's ensemble cast.
  • D. Tony
    Tony is the idealistic young protagonist of the musical *West Side Story*, whose forbidden love for Maria drives the story’s modern retelling of *Romeo and Juliet* in 1950s New York.
  • E. Tony
    Tony is the central romantic lead in the musical "The Most Happy Fella," an aging Italian-American vintner whose love story drives the plot.
  • F. None of above. chosen

Provenance (5 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80a400888190bef114052f3c4f76 completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc7929e388190b35505378d0cf653 completed April 2, 2026, 1:34 a.m.
NEDg Description generation batch_69cdcc88ee7881909c81d55a5354cbae completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdcd366df88190aefa4fe9d5d470e6 completed April 2, 2026, 1:58 a.m.
Created at: March 30, 2026, 6:01 p.m.