Triple
T22103899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Education (2019 film) |
E546236
|
entity |
| Predicate | cinematographer |
P1953
|
FINISHED |
| Object | Lyle Vincent |
—
|
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: Lyle Vincent | Statement: [Bad Education (2019 film), cinematographer, Lyle Vincent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyle Vincent Context triple: [Bad Education (2019 film), cinematographer, Lyle Vincent]
-
A.
Lyle Vincent
chosen
Lyle Vincent is a cinematographer known for his distinctive visual work on independent and genre films, including collaborations on projects like "Cooties."
-
B.
Lyle Anderson
Lyle Anderson is a fictional character appearing in the "Kingdom" series.
-
C.
Lyle Hill
Lyle Hill is a prominent viewpoint in Greenock, Scotland, known for its panoramic views over the River Clyde and surrounding landscapes.
-
D.
Lyle Leverich
Lyle Leverich was an American theater producer and biographer best known for his work in promoting and chronicling the lives and achievements of major theatrical figures.
-
E.
Lyle Rains
Lyle Rains is a video game designer best known for his influential work at Atari during the golden age of arcade games.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291815f88190a6eaf73e444dc1c2 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.