Triple
T11227778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Elroy Sanford |
E265739
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Betty Jean Harris |
E255767
|
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: Betty Jean Harris | Statement: [John Elroy Sanford, spouse, Betty Jean Harris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Jean Harris Context triple: [John Elroy Sanford, spouse, Betty Jean Harris]
-
A.
Betty Jean Harris
chosen
Betty Jean Harris was the longtime wife of comedian and actor Redd Foxx, with whom she shared much of his early career and personal life.
-
B.
Betty Lou Bredemus
Betty Lou Bredemus was an American acting coach and theater professional best known as the mother of actress Julia Roberts.
-
C.
Betty Jean Newsome
Betty Jean Newsome was an American songwriter best known for co-writing James Brown’s classic soul ballad “It’s a Man’s Man’s Man’s World.”
-
D.
Verna Felton
Verna Felton was an American character actress and voice performer best known for her memorable roles in classic Disney animated films.
-
E.
Betty Lou Keim
Betty Lou Keim was an American film and television actress best known for her roles in 1950s teen dramas and coming-of-age stories.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ff7b40819089c835be710bc575 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5428dc6988190ad5e0c48d8eecb03 |
completed | April 19, 2026, 9:01 p.m. |
Created at: April 8, 2026, 9:30 p.m.