Triple
T22039476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Greenwood |
E544300
|
entity |
| Predicate | nominatedFor |
P1791
|
FINISHED |
| Object |
Academy Award for Best Production Design for Pride & Prejudice (2005 film)
The Academy Award for Best Production Design for Pride & Prejudice (2005 film) is the Oscar nomination recognizing the film’s outstanding period sets and visual design work.
|
E1517418
|
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: Academy Award for Best Production Design for Pride & Prejudice (2005 film) | Statement: [Sarah Greenwood, nominatedFor, Academy Award for Best Production Design for Pride & Prejudice (2005 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Production Design for Pride & Prejudice (2005 film) Context triple: [Sarah Greenwood, nominatedFor, Academy Award for Best Production Design for Pride & Prejudice (2005 film)]
-
A.
Academy Award for Best Production Design for Atonement (2007 film)
The Academy Award for Best Production Design for Atonement (2007 film) is a prestigious Oscar nomination recognizing the film’s outstanding art direction and set design work.
-
B.
Academy Award for Best Production Design for Anna Karenina (2012 film)
The Academy Award for Best Production Design for Anna Karenina (2012 film) recognizes the film’s lavish and stylized visual environments, highlighted by its intricate sets and period detail.
-
C.
Academy Award for Best Production Design for Darkest Hour (2017 film)
The Academy Award for Best Production Design for Darkest Hour (2017 film) is the Oscar nomination recognizing the film’s outstanding period sets and visual environments, overseen by production designer Sarah Greenwood.
-
D.
Academy Award for Best Production Design for Poor Things
The Academy Award for Best Production Design for "Poor Things" is the Oscar recognizing the film’s outstanding achievement in art direction and set design.
-
E.
Academy Award for Best Production Design for Barbie (2023 film)
The Academy Award for Best Production Design for Barbie (2023 film) is a 2024 Oscar nomination recognizing the film’s distinctive and imaginative visual world, including its sets and overall production design.
- 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: Academy Award for Best Production Design for Pride & Prejudice (2005 film) Triple: [Sarah Greenwood, nominatedFor, Academy Award for Best Production Design for Pride & Prejudice (2005 film)]
Generated description
The Academy Award for Best Production Design for Pride & Prejudice (2005 film) is the Oscar nomination recognizing the film’s outstanding period sets and visual design work.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Production Design for Pride & Prejudice (2005 film) Target entity description: The Academy Award for Best Production Design for Pride & Prejudice (2005 film) is the Oscar nomination recognizing the film’s outstanding period sets and visual design work.
-
A.
Academy Award for Best Production Design for Atonement (2007 film)
The Academy Award for Best Production Design for Atonement (2007 film) is a prestigious Oscar nomination recognizing the film’s outstanding art direction and set design work.
-
B.
Academy Award for Best Production Design for Anna Karenina (2012 film)
The Academy Award for Best Production Design for Anna Karenina (2012 film) recognizes the film’s lavish and stylized visual environments, highlighted by its intricate sets and period detail.
-
C.
Academy Award for Best Production Design for Darkest Hour (2017 film)
The Academy Award for Best Production Design for Darkest Hour (2017 film) is the Oscar nomination recognizing the film’s outstanding period sets and visual environments, overseen by production designer Sarah Greenwood.
-
D.
Academy Award for Best Production Design for Poor Things
The Academy Award for Best Production Design for "Poor Things" is the Oscar recognizing the film’s outstanding achievement in art direction and set design.
-
E.
Academy Award for Best Production Design for Barbie (2023 film)
The Academy Award for Best Production Design for Barbie (2023 film) is a 2024 Oscar nomination recognizing the film’s distinctive and imaginative visual world, including its sets and overall production design.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f532b08190be80c5af039b4c29 |
completed | April 28, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a80a358f88190a14db44ac882a892 |
completed | May 18, 2026, 2:59 a.m. |
| NEDg | Description generation | batch_6a0a827284a081909bc74012b13b4da9 |
completed | May 18, 2026, 3:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a832c19d48190a40bbede0997c312 |
completed | May 18, 2026, 3:10 a.m. |
Created at: April 16, 2026, 8:25 p.m.