Triple
T5081191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | When I Come Around |
E114512
|
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: [When I Come Around, musicVideoDirector, Mark Kohr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Kohr Context triple: [When I Come Around, 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_69bd74f9d9848190919aad6cfe14f1cf |
completed | March 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfdb12f33c819084d9268bd31b1f6c |
completed | March 22, 2026, 12:05 p.m. |
Created at: March 20, 2026, 1:39 p.m.