Triple
T7608505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keisha Nash Whitaker |
E180171
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Whitaker |
E534856
|
NE FINISHED |
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: Whitaker | Statement: [Keisha Nash Whitaker, familyName, Whitaker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whitaker Context triple: [Keisha Nash Whitaker, familyName, Whitaker]
-
A.
Whitaker
chosen
Whitaker is an English surname commonly borne by individuals in the United Kingdom and the United States, associated with various notable figures across politics, sports, and the arts.
-
B.
Joseph Whitaker
Joseph Whitaker was a British-born Sicilian ornithologist and archaeologist best known for his pioneering excavations and studies of the ancient Phoenician city of Motya in western Sicily.
-
C.
Whip Whitaker
Whip Whitaker is the troubled airline pilot protagonist of the film "Flight," known for his heroic crash landing and subsequent struggle with addiction and accountability.
-
D.
Buckley
Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
-
E.
Buckley
Buckley is a small town in Flintshire, northeast Wales, known historically for its brickworks and coal mining industries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: March 27, 2026, 3:54 p.m.