Triple
T18352256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cosey family |
E439696
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Heed Cosey |
—
|
NE NERFINISHED |
How this triple was built (2 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: Heed Cosey | Statement: [Cosey family, hasMember, Heed Cosey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heed Cosey Context triple: [Cosey family, hasMember, Heed Cosey]
-
A.
Heed Cosey
chosen
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.
Cosey
Cosey is a surname most notably associated with the character Bill Cosey from Toni Morrison’s novel "Love."
-
C.
Cohon
Cohon is the family surname of American actor, author, and narrator Peter Coyote, born Peter Cohon.
-
D.
Dalsey
Dalsey is a surname most notably associated with Adrian Dalsey, one of the co-founders of the international courier company DHL.
-
E.
Corky
Corky is the nickname of Rodolfo "Corky" Gonzales, a prominent Chicano boxer, poet, and civil rights activist known for his role in the Chicano Movement.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f8f07c8190a1506d4a327369d0 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 10:37 a.m.