Triple
T2200473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atomic Blonde |
E50476
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Beth Kono
Beth Kono is a film producer known for her work on action-driven projects such as the spy thriller "Atomic Blonde."
|
E248782
|
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: Beth Kono | Statement: [Atomic Blonde, producer, Beth Kono]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beth Kono Context triple: [Atomic Blonde, producer, Beth Kono]
-
A.
Virginia Katz
Virginia Katz is a film editor known for her work on major Hollywood productions, including entries in the Twilight Saga.
-
B.
Rose Lorkowski
Rose Lorkowski is the struggling single mother and former high school cheerleader who starts a crime-scene cleanup business in the film "Sunshine Cleaning."
-
C.
Emily Dreyfuss
Emily Dreyfuss is an American journalist and writer known for her work on technology, politics, and digital culture for outlets such as WIRED and the Harvard Shorenstein Center.
-
D.
Nancy Shevell
Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
-
E.
Fern Kraemer
Fern Kraemer was a party to the landmark U.S. Supreme Court case Shelley v. Kraemer, which held that courts could not enforce racially restrictive housing covenants.
- 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: Beth Kono Triple: [Atomic Blonde, producer, Beth Kono]
Generated description
Beth Kono is a film producer known for her work on action-driven projects such as the spy thriller "Atomic Blonde."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beth Kono Target entity description: Beth Kono is a film producer known for her work on action-driven projects such as the spy thriller "Atomic Blonde."
-
A.
Virginia Katz
Virginia Katz is a film editor known for her work on major Hollywood productions, including entries in the Twilight Saga.
-
B.
Rose Lorkowski
Rose Lorkowski is the struggling single mother and former high school cheerleader who starts a crime-scene cleanup business in the film "Sunshine Cleaning."
-
C.
Emily Dreyfuss
Emily Dreyfuss is an American journalist and writer known for her work on technology, politics, and digital culture for outlets such as WIRED and the Harvard Shorenstein Center.
-
D.
Nancy Shevell
Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
-
E.
Fern Kraemer
Fern Kraemer was a party to the landmark U.S. Supreme Court case Shelley v. Kraemer, which held that courts could not enforce racially restrictive housing covenants.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfa06bb4819092d7021358846e5f |
completed | March 7, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6af5dc2081909d69641ca3bc65ea |
completed | March 9, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_69ae6b9da51c819085beb79a14f5d8b5 |
completed | March 9, 2026, 6:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6c2a465c8190a9fe2a465e9ac3f0 |
completed | March 9, 2026, 6:43 a.m. |
Created at: March 4, 2026, 7:46 p.m.