Triple
T6289641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carol Cleveland |
E140982
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Carol Cleveland |
E140982
|
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: Carol Cleveland | Statement: [Carol Cleveland, name, Carol Cleveland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carol Cleveland Context triple: [Carol Cleveland, name, Carol Cleveland]
-
A.
Carol Cleveland
chosen
Carol Cleveland is a British-American actress and comedian best known for her frequent appearances in the Monty Python television series and films.
-
B.
Amy Carter
Amy Carter is the daughter of former U.S. President Jimmy Carter, known for growing up in the White House and later engaging in political activism and illustration.
-
C.
Ann Neal Cleveland
Ann Neal Cleveland was the mother of Stephen Grover Cleveland, the 22nd and 24th president of the United States.
-
D.
Annette Cleveland
Annette Cleveland is an American politician who has served as a Democratic member of the Washington State Senate.
-
E.
Dorothy Howell Rodham
Dorothy Howell Rodham was an American homemaker and the mother of Hillary Rodham Clinton, known for her quiet but profound influence on her daughter's values and political outlook.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0641a6ecc8190a63be0e3f0344a3f |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c519794a9481909a72a8dcdfaf41f8 |
completed | March 26, 2026, 11:33 a.m. |
Created at: March 22, 2026, 4:26 p.m.