Triple
T20141038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velvet Buzzsaw |
E491164
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jennifer Fox |
—
|
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: Jennifer Fox | Statement: [Velvet Buzzsaw, producer, Jennifer Fox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Fox Context triple: [Velvet Buzzsaw, producer, Jennifer Fox]
-
A.
Jennifer Fox
Jennifer Fox is an American film and television producer known for her work on acclaimed projects such as the geopolitical thriller "Syriana."
-
B.
Jennifer Fox
chosen
Jennifer Fox is an American filmmaker and producer known for her autobiographical drama film "The Tale" and her work in documentary cinema.
-
C.
Stacy Poitras
Stacy Poitras is an American chainsaw sculptor and artist known for his large-scale wood carvings, particularly of bears and Western-themed figures.
-
D.
Jessica Goldman
Jessica Goldman is a central character in Kenneth Lonergan's play "This Is Our Youth," portrayed as an intelligent, self-conscious young woman navigating relationships and identity in 1980s Manhattan.
-
E.
Tania Saulnier
Tania Saulnier is a Canadian actress best known for her leading role in the horror-comedy film "Slither."
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679b179c8190a9511df8ed82098a |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:32 p.m.