Triple
T12223067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty Lou Keim |
E291269
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Betty Lou Keim |
E291269
|
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 Lou Keim | Statement: [Betty Lou Keim, name, Betty Lou Keim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Lou Keim Context triple: [Betty Lou Keim, name, Betty Lou Keim]
-
A.
Betty Lou Keim
chosen
Betty Lou Keim was an American film and television actress best known for her roles in 1950s teen dramas and coming-of-age stories.
-
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 Hicks
Betty Hicks was the wife of famed American tenor and film star Mario Lanza, known for supporting him throughout his celebrated but turbulent career.
-
D.
Betty Heminger
Betty Heminger was the wife of American singer and television host Tennessee Ernie Ford.
-
E.
Betty Reinhardt
Betty Reinhardt was a screenwriter best known for her work on the classic 1944 film noir "Laura."
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca11f788190bad2efb6c83ffccb |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7304d8ad08190bf444835cfca6205 |
completed | May 3, 2026, 11:23 a.m. |
Created at: April 8, 2026, 9:51 p.m.