Triple
T20592277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karen Grassle |
E505959
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Karen Trust Grassle |
—
|
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: Karen Trust Grassle | Statement: [Karen Grassle, birthName, Karen Trust Grassle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Trust Grassle Context triple: [Karen Grassle, birthName, Karen Trust Grassle]
-
A.
Karen Grassle
chosen
Karen Grassle is an American actress best known for her role as Caroline "Ma" Ingalls on the television series Little House on the Prairie.
-
B.
Clair Buckley
Clair Buckley is the wife of English actor and comedian James Buckley, known for sharing aspects of their family life with his fanbase.
-
C.
Melody Guthrie
Melody Guthrie is a Marvel Comics mutant character and younger member of the Guthrie family, known for her sonic-based powers and association with the X-Men’s younger teams.
-
D.
Kat Barton
Kat Barton is a key supporting character who aids the main protagonist in their journey, often providing crucial assistance and companionship.
-
E.
Lorie Griffin
Lorie Griffin is an American actress best known for her role in the 1985 comedy film "Teen Wolf."
- 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_69e0b4ba6ae88190af871e1f9522c704 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a97c10f081909daf635e9be0dd22 |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 16, 2026, 11:40 a.m.