Triple
T17802564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keesha Sharp |
E444468
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Keesha Sharp |
—
|
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: Keesha Sharp | Statement: [Keesha Sharp, name, Keesha Sharp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keesha Sharp Context triple: [Keesha Sharp, name, Keesha Sharp]
-
A.
Keesha Sharp
chosen
Keesha Sharp is an American actress and director best known for her roles in television series such as "Girlfriends" and "Lethal Weapon," as well as various film and stage productions.
-
B.
Sharona Fleming
Sharona Fleming is a fictional nurse and assertive personal assistant to detective Adrian Monk on the television series "Monk."
-
C.
Kelli Williams
Kelli Williams is an American actress best known for her television roles in series such as "The Practice" and "Lie to Me."
-
D.
Keesha Franklin
Keesha Franklin is a smart, skeptical, and often sarcastic student from the animated educational series "The Magic School Bus," known for her practical mindset and witty commentary during Ms. Frizzle’s science adventures.
-
E.
Shannon Doughton
Shannon Doughton is a musician best known as a principal performer associated with the band Pod.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e488005a288190b7a2cffa590d2557 |
completed | April 19, 2026, 7:45 a.m. |
Created at: April 10, 2026, 10:13 a.m.