Triple
T17802565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keesha Sharp |
E444468
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Keesha |
—
|
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 | Statement: [Keesha Sharp, givenName, Keesha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keesha Context triple: [Keesha Sharp, givenName, Keesha]
-
A.
Keisha
chosen
Keisha is a feminine given name used in English-speaking communities, often associated with African-American culture.
-
B.
Dameisha
Dameisha is a popular coastal area in Shenzhen, China, best known for its long sandy beach, seaside resorts, and recreational attractions.
-
C.
Nesha
Nesha is a given name that can refer to various people or entities, often used as a feminine personal name in different cultures.
-
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.
Shameika
"Shameika" is a critically acclaimed song by American singer-songwriter Fiona Apple from her 2020 album "Fetch the Bolt Cutters," noted for its unconventional structure and autobiographical lyrics about childhood resilience.
- 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.