Triple

T22315401
Position Surface form Disambiguated ID Type / Status
Subject Lee Chang-dong E551626 entity
Predicate wroteScreenplayFor P15305 FINISHED
Object Burning 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: Burning | Statement: [Lee Chang-dong, wroteScreenplayFor, Burning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burning
Context triple: [Lee Chang-dong, wroteScreenplayFor, Burning]
  • A. Burning chosen
    Burning is a critically acclaimed 2018 South Korean psychological mystery drama film directed by Lee Chang-dong, noted for its slow-burn storytelling and ambiguous, haunting narrative.
  • B. Burning
    Burning is a documentary film by Eva Orner that examines Australia's catastrophic 2019–2020 bushfires and the political and environmental issues surrounding them.
  • C. Burnt
    Burnt is a 2015 drama-comedy film about a talented but troubled chef seeking redemption in the high-pressure world of haute cuisine.
  • D. Burn On
    "Burn On" is a song by Randy Newman from his 1972 album "Sail Away," noted for its commentary on the polluted Cuyahoga River.
  • E. Burning Up
    "Burning Up" is an early Madonna single that helped establish her as a rising pop and dance music star in the 1980s.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1575287688190aa642bb49b24f5a1 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:42 p.m.