Triple
T18810128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valda Crider Perkins |
E459988
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Valda Crider Perkins |
—
|
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: Valda Crider Perkins | Statement: [Valda Crider Perkins, name, Valda Crider Perkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valda Crider Perkins Context triple: [Valda Crider Perkins, name, Valda Crider Perkins]
-
A.
Valda Crider Perkins
chosen
Valda Crider Perkins is best known as the wife of influential rockabilly musician Carl Perkins, a key figure in early rock and roll.
-
B.
Sara Coburn Perrin
Sara Coburn Perrin is known primarily as the wife of American essayist and environmental writer Noël Perrin.
-
C.
Sonja Norwood
Sonja Norwood is an American talent manager and television personality best known for managing the careers of her children, singer-actress Brandy and entertainer Ray J.
-
D.
Jane Loring
Jane Loring was a film editor known for her work in early 20th-century American cinema.
-
E.
Marilee Earle
Marilee Earle is an actress best known for her role in the 1958 Western film "Terror in a Texas Town."
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3db38ec8190ab5bef15bc6789be |
completed | April 20, 2026, 3:56 a.m. |
Created at: April 10, 2026, 11:53 a.m.