Triple
T16190288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances Bay |
E392918
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Blue Velvet |
E196809
|
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: Blue Velvet | Statement: [Frances Bay, notableWork, Blue Velvet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Velvet Context triple: [Frances Bay, notableWork, Blue Velvet]
-
A.
Blue Velvet
chosen
Blue Velvet is a 1986 neo-noir mystery film directed by David Lynch, renowned for its disturbing exploration of suburban darkness and surreal, psychologically intense atmosphere.
-
B.
Blue Velvet
Blue Velvet is a 1963 pop ballad by Bobby Vinton that became one of his signature hits, known for its lush orchestration and romantic, nostalgic mood.
-
C.
Blue Velvet Rain
"Blue Velvet Rain" is a song featured on the music streaming and recommendation service Radio.
-
D.
Don’t Look Now
"Don’t Look Now" is a song by Jack Johnson featured on his 2022 album "Meet the Moonlight."
-
E.
Twin Peaks: Fire Walk with Me
Twin Peaks: Fire Walk with Me is a 1992 psychological horror film directed by David Lynch that serves as a prequel to the television series Twin Peaks, exploring the final days of Laura Palmer.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d4ab8081909a02e5138b29b83b |
completed | April 17, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff095504819096c36d6c5d131207 |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.