Triple
T17442940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ehlers |
E424702
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Beth Ehlers |
—
|
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: Beth Ehlers | Statement: [Ehlers, hasNotableBearer, Beth Ehlers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beth Ehlers Context triple: [Ehlers, hasNotableBearer, Beth Ehlers]
-
A.
Beth Ehlers
chosen
Beth Ehlers is an American actress best known for her long-running role as Harley Cooper on the daytime soap opera "Guiding Light."
-
B.
Jane Frazee
Jane Frazee was an American actress and singer best known for her roles in 1940s musical comedies and wartime films.
-
C.
Jaime Herrera Beutler
Jaime Herrera Beutler is an American Republican politician who represented Washington’s 3rd congressional district in the U.S. House of Representatives from 2011 to 2023.
-
D.
Jennifer Warren
Jennifer Warren is an American actress and director best known for her work in 1970s and 1980s films and television, including a prominent role in the neo-noir thriller "Night Moves."
-
E.
Gail Strickland
Gail Strickland is an American character actress known for her work in film and television since the 1970s.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff927ec8190995798f569e913ba |
completed | April 19, 2026, 3:46 a.m. |
Created at: April 10, 2026, 5:47 a.m.