Triple
T5741955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane Banks |
E126635
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Karen Dotrice
Karen Dotrice is a British former child actress best known for playing Jane Banks in Disney’s classic film "Mary Poppins."
|
E669575
|
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 Dotrice | Statement: [Jane Banks, portrayedBy, Karen Dotrice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Dotrice Context triple: [Jane Banks, portrayedBy, Karen Dotrice]
-
A.
Karen Moss
Karen Moss is the biological mother of television personality and fashion designer Nicole Richie.
-
B.
Kelly Roberts
Kelly Roberts is a businesswoman best known for owning and overseeing the historic Mission Inn Hotel & Spa in Riverside, California.
-
C.
Karen Richards
Karen Richards is a fictional character from the 1949 play "Aged in Wood," likely serving as a central figure in its dramatic narrative.
-
D.
Karen Richards
Karen Richards is a television producer best known for her executive production work on the horror drama series "Penny Dreadful."
-
E.
Karen Richards
Karen Richards is a key character in the classic film "All About Eve," a theater insider whose friendship and decisions help drive the story’s backstage drama and betrayal.
- 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 Dotrice Triple: [Jane Banks, portrayedBy, Karen Dotrice]
Generated description
Karen Dotrice is a British former child actress best known for playing Jane Banks in Disney’s classic film "Mary Poppins."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karen Dotrice Target entity description: Karen Dotrice is a British former child actress best known for playing Jane Banks in Disney’s classic film "Mary Poppins."
-
A.
Karen Moss
Karen Moss is the biological mother of television personality and fashion designer Nicole Richie.
-
B.
Kelly Roberts
Kelly Roberts is a businesswoman best known for owning and overseeing the historic Mission Inn Hotel & Spa in Riverside, California.
-
C.
Karen Richards
Karen Richards is a fictional character from the 1949 play "Aged in Wood," likely serving as a central figure in its dramatic narrative.
-
D.
Karen Richards
Karen Richards is a television producer best known for her executive production work on the horror drama series "Penny Dreadful."
-
E.
Karen Richards
Karen Richards is a key character in the classic film "All About Eve," a theater insider whose friendship and decisions help drive the story’s backstage drama and betrayal.
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0258382908190af8787feb1e5fbcd |
completed | March 22, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c845c232188190a3391ce5159f49bb |
completed | March 28, 2026, 9:18 p.m. |
| NEDg | Description generation | batch_69c846d0b1348190bc2bf23e75c535a9 |
completed | March 28, 2026, 9:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c84748b8988190b4f85c253ea9e403 |
completed | March 28, 2026, 9:25 p.m. |
Created at: March 22, 2026, 3:48 p.m.