Triple
T9946152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kean |
E195208
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Rita Kean
Rita Kean is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Kean.
|
E847119
|
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: Rita Kean | Statement: [Kean, hasNotableBearer, Rita Kean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rita Kean Context triple: [Kean, hasNotableBearer, Rita Kean]
-
A.
Rita Quigley
Rita Quigley was an American film actress active in the late 1930s and 1940s, known for her supporting roles in Hollywood studio productions.
-
B.
Linda Keene
Linda Keene is the wealthy and sophisticated socialite love interest of Fred Astaire’s character in the 1937 musical film "Shall We Dance."
-
C.
Rita Rogers
Rita Rogers is an actress known for appearing in the 1971 Western film "The Hired Hand."
-
D.
Maureen Arthur
Maureen Arthur was an American actress and singer best known for her comedic roles in film, television, and Broadway during the 1960s and 1970s.
-
E.
Anita Morris
Anita Morris was an American actress, singer, and dancer known for her sultry screen presence and scene-stealing roles in film, television, and on Broadway.
- 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: Rita Kean Triple: [Kean, hasNotableBearer, Rita Kean]
Generated description
Rita Kean is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Kean.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rita Kean Target entity description: Rita Kean is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Kean.
-
A.
Rita Quigley
Rita Quigley was an American film actress active in the late 1930s and 1940s, known for her supporting roles in Hollywood studio productions.
-
B.
Linda Keene
Linda Keene is the wealthy and sophisticated socialite love interest of Fred Astaire’s character in the 1937 musical film "Shall We Dance."
-
C.
Rita Rogers
Rita Rogers is an actress known for appearing in the 1971 Western film "The Hired Hand."
-
D.
Maureen Arthur
Maureen Arthur was an American actress and singer best known for her comedic roles in film, television, and Broadway during the 1960s and 1970s.
-
E.
Anita Morris
Anita Morris was an American actress, singer, and dancer known for her sultry screen presence and scene-stealing roles in film, television, and on Broadway.
- 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb655fba0819084a1e757b68c25d4 |
completed | April 2, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3171f23d08190a5f9cd2c3d139a0e |
completed | April 6, 2026, 2:14 a.m. |
| NEDg | Description generation | batch_69d3183a8410819094e81fe9f43717b2 |
completed | April 6, 2026, 2:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d318adfcb081909a3567f5327765ab |
completed | April 6, 2026, 2:21 a.m. |
Created at: March 30, 2026, 8:45 p.m.