Triple
T20383301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Talk |
E497893
|
entity |
| Predicate | formerHost |
P46400
|
FINISHED |
| Object | Aisha Tyler |
—
|
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: Aisha Tyler | Statement: [The Talk, formerHost, Aisha Tyler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aisha Tyler Context triple: [The Talk, formerHost, Aisha Tyler]
-
A.
Aisha Tyler
chosen
Aisha Tyler is an American actress, comedian, director, and television host known for roles in shows like "Friends," "Archer," and "Criminal Minds," as well as for hosting "Whose Line Is It Anyway?"
-
B.
Ashley Curry
Ashley Curry is an American local government official serving as the mayor of Vestavia Hills, Alabama.
-
C.
Tia Sillers
Tia Sillers is an American songwriter best known for penning hit country and pop songs, including the Grammy-winning “I Hope You Dance.”
-
D.
Chrishell Stause
Chrishell Stause is an American actress and real estate agent best known for her role on the reality series "Selling Sunset" and appearances in various soap operas.
-
E.
Gail Simmons
Gail Simmons is a Canadian food writer and culinary expert best known as a longtime judge on the reality cooking competition show "Top Chef."
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b208ec8190a09bf5fd947a2a02 |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.