Triple

T15730554
Position Surface form Disambiguated ID Type / Status
Subject Hong Kyung-pyo E381332 entity
Predicate workedOn P3 FINISHED
Object Burning E539965 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: Burning | Statement: [Hong Kyung-pyo, workedOn, Burning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burning
Context triple: [Hong Kyung-pyo, workedOn, 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 (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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb61cb881908b158609c1ccfa1e completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8769aaac8190b41141eaa5ac6944 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:46 a.m.