Triple
T17293774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Peripheral (TV series) |
E419852
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Mark Korven |
—
|
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 Korven | Statement: [The Peripheral (TV series), composer, Mark Korven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Korven Context triple: [The Peripheral (TV series), composer, Mark Korven]
-
A.
Mark Korven
chosen
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.
-
B.
Mark Kohr
Mark Kohr is an American music video director known for his work with prominent alternative rock bands in the 1990s.
-
C.
John Kosco
John Kosco is a musician best known as the former lead vocalist of the rock band Dropbox.
-
D.
Kurt Voss
Kurt Voss is an American filmmaker and screenwriter known for his work in independent cinema, often exploring gritty, character-driven stories.
-
E.
Mark Okerstrom
Mark Okerstrom is a Canadian business executive best known for serving as the former CEO of Expedia Group.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43785383881908ec61ddf5e2193cf |
completed | April 19, 2026, 2:01 a.m. |
Created at: April 10, 2026, 5:40 a.m.