Triple
T18685204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Idol |
E456842
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Sam Levinson |
—
|
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: Sam Levinson | Statement: [The Idol, creator, Sam Levinson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Levinson Context triple: [The Idol, creator, Sam Levinson]
-
A.
Sam Levinson
chosen
Sam Levinson is an American filmmaker, screenwriter, and director best known for creating the HBO teen drama series "Euphoria."
-
B.
Sam Levenson
Sam Levenson was an American humorist, writer, and television host known for his warm, family-centered Jewish humor and popular books such as "Everything But Money."
-
C.
Maury Winetrobe
Maury Winetrobe is a film editor best known for his work on classic Hollywood productions such as "Pocketful of Miracles."
-
D.
Sam Levy
Sam Levy is an American cinematographer best known for his frequent collaborations with director Noah Baumbach and his work on acclaimed independent films.
-
E.
Sy Levin
Sy Levin is a film producer best known for his work on the 1987 adaptation of "Flowers in the Attic."
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2c58188190b906c9ab080a76ff |
completed | April 19, 2026, 10:46 p.m. |
Created at: April 10, 2026, 11:49 a.m.