Triple

T7181499
Position Surface form Disambiguated ID Type / Status
Subject Damian Marley E167456 entity
Predicate stageName P7872 FINISHED
Object Junior Gong E594373 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: Junior Gong | Statement: [Damian Marley, stageName, Junior Gong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Junior Gong
Context triple: [Damian Marley, stageName, Junior Gong]
  • A. Jr. Gong chosen
    Jr. Gong, better known as Damian Marley, is a Jamaican reggae and dancehall artist and producer, and the youngest son of Bob Marley.
  • B. Gongman
    Gongman is the iconic figure who strikes a large gong in the opening logo sequence of the Rank Organisation’s films.
  • C. Young Chang
    Young Chang is a South Korean musical instrument manufacturer best known for producing pianos and owning the Kurzweil brand of digital keyboards and synthesizers.
  • D. Chi-Fu
    Chi-Fu is the pompous and bureaucratic imperial advisor in Disney's 1998 animated film "Mulan," often serving as a comedic antagonist to the protagonist's efforts.
  • E. Mr. Wong
    Mr. Wong is the enigmatic criminal mastermind and primary antagonist in the 1934 mystery film "The Mysterious Mr. Wong."
  • 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8bc25088190a7d7f3ba2461b5e9 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b93d04ec8190ac5c5bf9ace7eca1 completed March 28, 2026, 11:19 a.m.
Created at: March 27, 2026, 2:49 p.m.