Triple
T4372426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Cosey |
E98926
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Cosey
Cosey is a surname most notably associated with the character Bill Cosey from Toni Morrison’s novel "Love."
|
E435406
|
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: Cosey | Statement: [Bill Cosey, familyName, Cosey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cosey Context triple: [Bill Cosey, familyName, Cosey]
-
A.
Heed Cosey
Heed Cosey is a central character in Toni Morrison’s novel "Love," whose complex relationship with the Cosey family and her former friend Christine drives much of the book’s exploration of memory, desire, and betrayal.
-
B.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
-
C.
Coney Weston
Coney Weston is a small rural village and civil parish in the English county of Suffolk.
-
D.
Whitey
Whitey is the nickname of Hall of Fame New York Yankees pitcher Whitey Ford, one of Major League Baseball’s most successful left-handed pitchers.
-
E.
Bosley
Bosley is a surname most famously associated with American actor Tom Bosley, known for his role as Howard Cunningham on the television series "Happy Days."
- 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: Cosey Triple: [Bill Cosey, familyName, Cosey]
Generated description
Cosey is a surname most notably associated with the character Bill Cosey from Toni Morrison’s novel "Love."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cosey Target entity description: Cosey is a surname most notably associated with the character Bill Cosey from Toni Morrison’s novel "Love."
-
A.
Heed Cosey
Heed Cosey is a central character in Toni Morrison’s novel "Love," whose complex relationship with the Cosey family and her former friend Christine drives much of the book’s exploration of memory, desire, and betrayal.
-
B.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
-
C.
Coney Weston
Coney Weston is a small rural village and civil parish in the English county of Suffolk.
-
D.
Whitey
Whitey is the nickname of Hall of Fame New York Yankees pitcher Whitey Ford, one of Major League Baseball’s most successful left-handed pitchers.
-
E.
Bosley
Bosley is a surname most famously associated with American actor Tom Bosley, known for his role as Howard Cunningham on the television series "Happy Days."
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3521f7d9c81909c9209fe59d20ffd |
completed | March 12, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e50ec35481908cf1e1afffda19cb |
completed | March 14, 2026, 10:45 p.m. |
| NEDg | Description generation | batch_69b5e5e96aac819093c43dc355de4509 |
completed | March 14, 2026, 10:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5e6587be88190884f61a7350ce5a9 |
completed | March 14, 2026, 10:51 p.m. |
Created at: March 12, 2026, 11:17 p.m.