Triple

T18856037
Position Surface form Disambiguated ID Type / Status
Subject The Last Command E461171 entity
Predicate coverArtist P184 FINISHED
Object Tom Jung 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: Tom Jung | Statement: [The Last Command, coverArtist, Tom Jung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Jung
Context triple: [The Last Command, coverArtist, Tom Jung]
  • A. Tom Jung chosen
    Tom Jung is an American illustrator and film poster artist renowned for creating iconic artwork for major movies and novels, including the cover art for "Dark Force Rising."
  • B. Il-woo Jung
    Il-woo Jung is a Korean individual notable enough to be recognized as a prominent bearer of the surname Jung.
  • C. Yong-joon Jung
    Yong-joon Jung is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Jung.
  • D. Lewis Taewan Kim
    Lewis Taewan Kim is a film producer best known for his work on the critically acclaimed fantasy drama film "Okja."
  • E. Yong-hwa Jung
    Yong-hwa Jung is a South Korean musician and actor best known as the leader, lead vocalist, and guitarist of the rock band CNBLUE.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05d0bb8819094d0447441f85b57 completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:57 a.m.