Triple
T15311385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It Follows (film score) |
E366045
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Rich Vreeland |
E1158418
|
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: Rich Vreeland | Statement: [It Follows (film score), composer, Rich Vreeland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rich Vreeland Context triple: [It Follows (film score), composer, Rich Vreeland]
-
A.
Rich Vreeland
chosen
Rich Vreeland, better known by his moniker Disasterpeace, is an American composer renowned for his innovative, atmospheric soundtracks for indie video games and films.
-
B.
Bernie Ulman
Bernie Ulman was a prominent American football official best known for serving as a referee in the National Football League, including officiating major games such as Super Bowl IX.
-
C.
Robert Hohman
Robert Hohman is an American entrepreneur best known as the co-founder and former CEO of Glassdoor, a popular platform for anonymous employee reviews and salary information.
-
D.
Michael Vavitch
Michael Vavitch was a silent-era film actor known for his role in the 1924 drama "The Red Lily."
-
E.
Ben Demaree
Ben Demaree is a cinematographer and filmmaker known for his work on low-budget genre films, including fantasy and science fiction titles.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd2d5a88190aead748920f93d47 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff364bafd0819086b8aab1c216c6fa |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:16 a.m.