Triple

T21679080
Position Surface form Disambiguated ID Type / Status
Subject Hand in My Pocket E535052 entity
Predicate musicVideoDirector P4911 FINISHED
Object Mark Kohr 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: Mark Kohr | Statement: [Hand in My Pocket, musicVideoDirector, Mark Kohr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Kohr
Context triple: [Hand in My Pocket, 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. John Daheim
    John Daheim was an American character actor who appeared in numerous film and television productions during the mid-20th century.
  • C. 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.
  • D. 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."
  • E. Ben Kohn
    Ben Kohn is a music producer known for his work on Robbie Williams’ album "The Heavy Entertainment Show."
  • 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef8a11ce548190aaff404aed6a76cd completed April 27, 2026, 4:08 p.m.
Created at: April 16, 2026, 6:43 p.m.