Triple
T19879648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ennis Cosby |
E477733
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Evin Cosby |
—
|
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: Evin Cosby | Statement: [Ennis Cosby, sibling, Evin Cosby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evin Cosby Context triple: [Ennis Cosby, sibling, Evin Cosby]
-
A.
Evin Cosby
chosen
Evin Cosby is the daughter of comedian Bill Cosby, known for her work as a boutique owner and for occasionally speaking publicly about her family.
-
B.
Tyree Pittman
Tyree Pittman, better known as Young Chop, is an American record producer and rapper recognized for shaping the sound of Chicago drill music.
-
C.
Andrew Cosby
Andrew Cosby is an American comic book writer, screenwriter, and producer best known for co-creating the science fiction television series "Eureka."
-
D.
Trenton Hassell
Trenton Hassell is a former professional basketball player best known for his NBA career as a versatile defensive-minded wing.
-
E.
Russel Hines
Russel Hines is a fictional character in the darkly comedic crime film "To Die For."
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658dd869c81908aed91ee767f5f3d |
completed | April 20, 2026, 4:48 p.m. |
Created at: April 10, 2026, 1:52 p.m.