Triple
T4505171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euphoria |
E101315
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Sam Levinson
Sam Levinson is an American filmmaker, screenwriter, and director best known for creating the HBO teen drama series "Euphoria."
|
E447653
|
NE FINISHED |
How this triple was built (4 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: [Euphoria, creator, Sam Levinson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Levinson Context triple: [Euphoria, creator, Sam Levinson]
-
A.
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."
-
B.
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.
-
C.
Bill Prady
Bill Prady is an American television writer and producer best known for co-creating the hit sitcom "The Big Bang Theory."
-
D.
Paul Wernick
Paul Wernick is an American screenwriter best known for co-writing the hit Deadpool films and other major Hollywood action-comedies.
-
E.
Andrew Kreisberg
Andrew Kreisberg is an American television writer and producer best known for his work on superhero series within the Arrowverse, including The Flash.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sam Levinson Triple: [Euphoria, creator, Sam Levinson]
Generated description
Sam Levinson is an American filmmaker, screenwriter, and director best known for creating the HBO teen drama series "Euphoria."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sam Levinson Target entity description: Sam Levinson is an American filmmaker, screenwriter, and director best known for creating the HBO teen drama series "Euphoria."
-
A.
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."
-
B.
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.
-
C.
Bill Prady
Bill Prady is an American television writer and producer best known for co-creating the hit sitcom "The Big Bang Theory."
-
D.
Paul Wernick
Paul Wernick is an American screenwriter best known for co-writing the hit Deadpool films and other major Hollywood action-comedies.
-
E.
Andrew Kreisberg
Andrew Kreisberg is an American television writer and producer best known for his work on superhero series within the Arrowverse, including The Flash.
- F. None of above. chosen
Provenance (5 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56fe17608190ae5dc27052b7c337 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f9961ac8190954b2d352d2319fb |
completed | March 20, 2026, 4:02 p.m. |
| NEDg | Description generation | batch_69bd705e0e848190a73e7ddb569f0e37 |
completed | March 20, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd71b41664819091bd4f75d4634943 |
completed | March 20, 2026, 4:11 p.m. |
Created at: March 20, 2026, 1:01 p.m.