Triple

T5081956
Position Surface form Disambiguated ID Type / Status
Subject Geek Stink Breath E114533 entity
Predicate musicVideoDirector P4911 FINISHED
Object Mark Kohr E251938 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: Mark Kohr | Statement: [Geek Stink Breath, musicVideoDirector, Mark Kohr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Kohr
Context triple: [Geek Stink Breath, musicVideoDirector, Mark Kohr]
  • A. Mark Kohr chosen
    Mark Kohr is an American music video director known for his work with prominent alternative rock bands in the 1990s.
  • B. Ted Koehler
    Ted Koehler was an American lyricist best known for his popular songs of the 1920s–1940s, many written in collaboration with composer Harold Arlen.
  • C. Stephen Koepp
    Stephen Koepp is an American journalist and editor best known as a longtime senior editor at Time magazine and co-founder of the business news site "From Day One."
  • D. Mark Korven
    Mark Korven is a Canadian film and television composer best known for his unsettling, atmospheric scores for horror projects such as The Witch and The Lighthouse.
  • E. John Kamps
    John Kamps is an American screenwriter best known for co-writing the family science fiction film "Zathura: A Space Adventure."
  • 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_69bd443dbf908190a9401e9c2dc7bd7d completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74fb3df4819082bd8ae64e207ceb completed March 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfe1423aa481909fd062c54779a3a2 completed March 22, 2026, 12:32 p.m.
Created at: March 20, 2026, 1:39 p.m.