Triple
T15419586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K.D. Aubert |
E369337
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Karen Denise Aubert
Karen Denise Aubert is an American actress and model known for her roles in films like "Friday After Next" and "Soul Plane" and for her work in fashion and cosmetics campaigns.
|
E1156830
|
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: Karen Denise Aubert | Statement: [K.D. Aubert, birthName, Karen Denise Aubert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Denise Aubert Context triple: [K.D. Aubert, birthName, Karen Denise Aubert]
-
A.
Kate Forte
Kate Forte is a film and television producer best known for her work on projects such as the drama film "The Great Debaters."
-
B.
Laura Davenport
Laura Davenport is the daughter of English actor Nigel Davenport.
-
C.
Nathalie Kelley
Nathalie Kelley is a Peruvian-Australian actress best known for her breakout role in the film "The Fast and the Furious: Tokyo Drift" and for appearances in various television series.
-
D.
Danielle Aubuchon
Danielle Aubuchon is an American actress known for her work in film and television and for being married to actor Dirk Blocker.
-
E.
Karen Dotrice
Karen Dotrice is a British former child actress best known for playing Jane Banks in Disney’s classic film "Mary Poppins."
- 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: Karen Denise Aubert Triple: [K.D. Aubert, birthName, Karen Denise Aubert]
Generated description
Karen Denise Aubert is an American actress and model known for her roles in films like "Friday After Next" and "Soul Plane" and for her work in fashion and cosmetics campaigns.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karen Denise Aubert Target entity description: Karen Denise Aubert is an American actress and model known for her roles in films like "Friday After Next" and "Soul Plane" and for her work in fashion and cosmetics campaigns.
-
A.
Kate Forte
Kate Forte is a film and television producer best known for her work on projects such as the drama film "The Great Debaters."
-
B.
Laura Davenport
Laura Davenport is the daughter of English actor Nigel Davenport.
-
C.
Nathalie Kelley
Nathalie Kelley is a Peruvian-Australian actress best known for her breakout role in the film "The Fast and the Furious: Tokyo Drift" and for appearances in various television series.
-
D.
Danielle Aubuchon
Danielle Aubuchon is an American actress known for her work in film and television and for being married to actor Dirk Blocker.
-
E.
Karen Dotrice
Karen Dotrice is a British former child actress best known for playing Jane Banks in Disney’s classic film "Mary Poppins."
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ebce4f48190ba282ecb4fb2f6fa |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a7adb848190836fb972bc8744f1 |
completed | May 9, 2026, 11:28 a.m. |
| NEDg | Description generation | batch_69ff1bc3aa2c8190b61d21fa78682ea1 |
completed | May 9, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1cbccab48190b9e19b5a09324d8c |
completed | May 9, 2026, 11:38 a.m. |
Created at: April 10, 2026, 3:20 a.m.