Triple
T7608504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keisha Nash Whitaker |
E180171
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Keisha
Keisha is a feminine given name used in English-speaking communities, often associated with African-American culture.
|
E676747
|
NE FINISHED |
How this triple was built (4 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: Keisha | Statement: [Keisha Nash Whitaker, givenName, Keisha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keisha Context triple: [Keisha Nash Whitaker, givenName, Keisha]
-
A.
Dameisha
Dameisha is a popular coastal area in Shenzhen, China, best known for its long sandy beach, seaside resorts, and recreational attractions.
-
B.
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.
-
C.
LaTisha
LaTisha is a fictional female protagonist, likely a young woman or girl, who serves as the central focus of the story.
-
D.
LaToya
LaToya is a feminine given name most notably associated with American singer and actress LaToya London.
-
E.
Keisha Morris
Keisha Morris is an American woman best known for her brief marriage to iconic rapper and actor Tupac Shakur in the mid-1990s.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Keisha Triple: [Keisha Nash Whitaker, givenName, Keisha]
Generated description
Keisha is a feminine given name used in English-speaking communities, often associated with African-American culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Keisha Target entity description: Keisha is a feminine given name used in English-speaking communities, often associated with African-American culture.
-
A.
Dameisha
Dameisha is a popular coastal area in Shenzhen, China, best known for its long sandy beach, seaside resorts, and recreational attractions.
-
B.
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.
-
C.
LaTisha
LaTisha is a fictional female protagonist, likely a young woman or girl, who serves as the central focus of the story.
-
D.
LaToya
LaToya is a feminine given name most notably associated with American singer and actress LaToya London.
-
E.
Keisha Morris
Keisha Morris is an American woman best known for her brief marriage to iconic rapper and actor Tupac Shakur in the mid-1990s.
- F. None of above. chosen
Provenance (5 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6fa1de8a4819091f9e9347835ce16 |
completed | March 27, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8685c050c8190b05fa19c9ae2c827 |
completed | March 28, 2026, 11:46 p.m. |
| NEDg | Description generation | batch_69c869e90ccc8190a3dce61632e0c98d |
completed | March 28, 2026, 11:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c86a8a46608190bd43dd439f9ca97c |
completed | March 28, 2026, 11:55 p.m. |
Created at: March 27, 2026, 3:54 p.m.