Triple
T13970947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Fair (1945 film) |
E336060
|
entity |
| Predicate | costumeDesigner |
P184
|
FINISHED |
| Object |
Bonnie Cashin
Bonnie Cashin was an influential American fashion designer known for her innovative, modern sportswear and pioneering work in ready-to-wear clothing.
|
E1071134
|
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: Bonnie Cashin | Statement: [State Fair (1945 film), costumeDesigner, Bonnie Cashin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonnie Cashin Context triple: [State Fair (1945 film), costumeDesigner, Bonnie Cashin]
-
A.
Marilyn Vance
Marilyn Vance is an American costume designer known for her influential work on numerous popular films, including iconic 1980s and 1990s movies.
-
B.
Barbara Wilson
Barbara Wilson is known as the former wife of American actor Tom Berenger.
-
C.
Carol Kester
Carol Kester is the witty, fast-talking receptionist on the classic American sitcom "The Bob Newhart Show."
-
D.
Janet Tamaro
Janet Tamaro is an American television writer and producer best known for developing and showrunning the crime drama series "Rizzoli & Isles."
-
E.
Sol Lesser
Sol Lesser was an American film producer best known for his extensive work on the Tarzan movie series during the mid-20th century.
- 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: Bonnie Cashin Triple: [State Fair (1945 film), costumeDesigner, Bonnie Cashin]
Generated description
Bonnie Cashin was an influential American fashion designer known for her innovative, modern sportswear and pioneering work in ready-to-wear clothing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bonnie Cashin Target entity description: Bonnie Cashin was an influential American fashion designer known for her innovative, modern sportswear and pioneering work in ready-to-wear clothing.
-
A.
Marilyn Vance
Marilyn Vance is an American costume designer known for her influential work on numerous popular films, including iconic 1980s and 1990s movies.
-
B.
Barbara Wilson
Barbara Wilson is known as the former wife of American actor Tom Berenger.
-
C.
Carol Kester
Carol Kester is the witty, fast-talking receptionist on the classic American sitcom "The Bob Newhart Show."
-
D.
Janet Tamaro
Janet Tamaro is an American television writer and producer best known for developing and showrunning the crime drama series "Rizzoli & Isles."
-
E.
Sol Lesser
Sol Lesser was an American film producer best known for his extensive work on the Tarzan movie series during the mid-20th century.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8eae40819080dd4bd25c73b6d6 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1dc838c8190bbcfefd69ea29965 |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba2b8e32081909cd32ed0bd255072 |
completed | May 6, 2026, 8:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba322460c81909aa36b661f39efcd |
completed | May 6, 2026, 8:22 p.m. |
Created at: April 9, 2026, 10:18 p.m.