Triple
T9083796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Kaye |
E217697
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Danielle Kaye
Danielle Kaye is known as the spouse of British film director and music video creator Tony Kaye.
|
E778650
|
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: Danielle Kaye | Statement: [Tony Kaye, spouse, Danielle Kaye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danielle Kaye Context triple: [Tony Kaye, spouse, Danielle Kaye]
-
A.
Karen Kline
Karen Kline is an American psychotherapist best known as the longtime spouse of Academy Award–winning actress Linda Hunt.
-
B.
Nancy Allen
Nancy Allen is an American actress best known for her roles in films such as "Carrie," "Dressed to Kill," and the "RoboCop" series.
-
C.
Lindsay Crouse
Lindsay Crouse is an American actress known for her work in film, television, and theater, including an Academy Award–nominated role in "Places in the Heart."
-
D.
Candice Bergen
Candice Bergen is an American actress and former fashion model best known for her Emmy-winning role as the sharp-tongued journalist Murphy Brown on the hit television sitcom of the same name.
-
E.
Blythe Danner
Blythe Danner is an American actress known for her work in film, television, and theater, including roles in "Meet the Parents" and numerous Broadway productions.
- 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: Danielle Kaye Triple: [Tony Kaye, spouse, Danielle Kaye]
Generated description
Danielle Kaye is known as the spouse of British film director and music video creator Tony Kaye.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danielle Kaye Target entity description: Danielle Kaye is known as the spouse of British film director and music video creator Tony Kaye.
-
A.
Karen Kline
Karen Kline is an American psychotherapist best known as the longtime spouse of Academy Award–winning actress Linda Hunt.
-
B.
Nancy Allen
Nancy Allen is an American actress best known for her roles in films such as "Carrie," "Dressed to Kill," and the "RoboCop" series.
-
C.
Lindsay Crouse
Lindsay Crouse is an American actress known for her work in film, television, and theater, including an Academy Award–nominated role in "Places in the Heart."
-
D.
Candice Bergen
Candice Bergen is an American actress and former fashion model best known for her Emmy-winning role as the sharp-tongued journalist Murphy Brown on the hit television sitcom of the same name.
-
E.
Blythe Danner
Blythe Danner is an American actress known for her work in film, television, and theater, including roles in "Meet the Parents" and numerous Broadway productions.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc960b45fc8190adf4bdc41b103e86 |
completed | April 1, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d02ffa9fb88190ab088be46b566ae8 |
completed | April 3, 2026, 9:24 p.m. |
| NEDg | Description generation | batch_69d03133ab2081909ea8d32bd7689dec |
completed | April 3, 2026, 9:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d031db52d08190962c352014a99135 |
completed | April 3, 2026, 9:32 p.m. |
Created at: March 30, 2026, 7:13 p.m.