Triple
T14625993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristie Macosko Krieger |
E343345
|
entity |
| Predicate | notableAwardNominatedFor |
P6104
|
FINISHED |
| Object |
Academy Award for Best Picture for The Fabelmans
The Academy Award for Best Picture for *The Fabelmans* is the Oscar nomination recognizing the film, directed by Steven Spielberg and produced by Kristie Macosko Krieger and others, as one of the year’s outstanding motion pictures.
|
E1109929
|
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 Picture for The Fabelmans | Statement: [Kristie Macosko Krieger, notableAwardNominatedFor, Academy Award for Best Picture for The Fabelmans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Picture for The Fabelmans Context triple: [Kristie Macosko Krieger, notableAwardNominatedFor, Academy Award for Best Picture for The Fabelmans]
-
A.
Academy Award for Best Picture (as co-writer of The Shape of Water, film winning)
The Academy Award for Best Picture is the Oscars’ top honor, recognizing the overall excellence of a feature film and its producers.
-
B.
Academy Award for Best Picture (as producer of Minari)
The Academy Award for Best Picture (as producer of Minari) is the Oscar nomination recognizing the film "Minari" as one of the year's outstanding motion pictures, with Steven Yeun credited among its producers.
-
C.
Academy Award for Best Picture for Spotlight
The Academy Award for Best Picture for "Spotlight" is the Oscar given to recognize the film "Spotlight" as the year's best motion picture.
-
D.
Academy Award for Best Actor in a Leading Role for Silver Linings Playbook
The Academy Award for Best Actor in a Leading Role for Silver Linings Playbook is the Oscar nomination recognizing Bradley Cooper’s acclaimed performance as the bipolar former teacher Pat Solitano in the 2012 romantic comedy-drama film "Silver Linings Playbook."
-
E.
Academy Award for Best Supporting Actor for Manchester by the Sea
The Academy Award for Best Supporting Actor for Manchester by the Sea is the Oscar nomination recognizing an outstanding supporting performance in the 2016 drama film "Manchester by the Sea."
- 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 Picture for The Fabelmans Triple: [Kristie Macosko Krieger, notableAwardNominatedFor, Academy Award for Best Picture for The Fabelmans]
Generated description
The Academy Award for Best Picture for *The Fabelmans* is the Oscar nomination recognizing the film, directed by Steven Spielberg and produced by Kristie Macosko Krieger and others, as one of the year’s outstanding motion pictures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Picture for The Fabelmans Target entity description: The Academy Award for Best Picture for *The Fabelmans* is the Oscar nomination recognizing the film, directed by Steven Spielberg and produced by Kristie Macosko Krieger and others, as one of the year’s outstanding motion pictures.
-
A.
Academy Award for Best Picture (as co-writer of The Shape of Water, film winning)
The Academy Award for Best Picture is the Oscars’ top honor, recognizing the overall excellence of a feature film and its producers.
-
B.
Academy Award for Best Picture (as producer of Minari)
The Academy Award for Best Picture (as producer of Minari) is the Oscar nomination recognizing the film "Minari" as one of the year's outstanding motion pictures, with Steven Yeun credited among its producers.
-
C.
Academy Award for Best Picture for Spotlight
The Academy Award for Best Picture for "Spotlight" is the Oscar given to recognize the film "Spotlight" as the year's best motion picture.
-
D.
Academy Award for Best Actor in a Leading Role for Silver Linings Playbook
The Academy Award for Best Actor in a Leading Role for Silver Linings Playbook is the Oscar nomination recognizing Bradley Cooper’s acclaimed performance as the bipolar former teacher Pat Solitano in the 2012 romantic comedy-drama film "Silver Linings Playbook."
-
E.
Academy Award for Best Supporting Actor for Manchester by the Sea
The Academy Award for Best Supporting Actor for Manchester by the Sea is the Oscar nomination recognizing an outstanding supporting performance in the 2016 drama film "Manchester by the Sea."
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46a4a9081908472b0a542028a7f |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda92a6b9c8190bdb220444cfbe34a |
completed | May 8, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69fdb1ad32a4819088e5831f3d74ea4e |
completed | May 8, 2026, 9:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb316479c81909343196bb89e5e57 |
completed | May 8, 2026, 9:55 a.m. |
Created at: April 10, 2026, 1:26 a.m.