Triple
T21671359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophia Witherspoon |
E534851
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Witherspoon |
—
|
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: Witherspoon | Statement: [Sophia Witherspoon, familyName, Witherspoon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Witherspoon Context triple: [Sophia Witherspoon, familyName, Witherspoon]
-
A.
Witherspoon
chosen
Witherspoon is a Scottish-origin surname borne by various notable figures in politics, entertainment, and sports.
-
B.
Sophia Witherspoon
Sophia Witherspoon is a former American professional basketball guard best known for her WNBA career in the late 1990s and early 2000s.
-
C.
Gina Hirsch
Gina Hirsch is a film editor best known for her work on major Hollywood productions, including the 2017 reboot of "The Mummy."
-
D.
Elizabeth Sanders
Elizabeth Sanders is known as the wife of Batman co-creator Bob Kane and has occasionally been involved in preserving and promoting his legacy.
-
E.
Elizabeth Sanders
Elizabeth Sanders is best known as the wife of British historian and politician Conrad Russell, 5th Earl Russell.
- 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a0badd08190ad2ec2b8e46be379 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 16, 2026, 6:37 p.m.