Triple
T17099798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cramer family |
E414947
|
entity |
| Predicate | hasMatriarch |
P9499
|
FINISHED |
| Object | Melinda Cramer |
—
|
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: Melinda Cramer | Statement: [Cramer family, hasMatriarch, Melinda Cramer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melinda Cramer Context triple: [Cramer family, hasMatriarch, Melinda Cramer]
-
A.
Melinda Cramer
chosen
Melinda Cramer is a fictional character from the soap opera "One Life to Live," known for her dramatic storylines and ties to the Cramer family.
-
B.
Melinda Markey
Melinda Markey is an American actress known for her role in the biographical sports film "The Bob Mathias Story."
-
C.
Melinda Rogers
Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
-
D.
Melissa Francis
Melissa Francis is an American former child actress and television news personality best known for her roles on "Little House on the Prairie" and later work as a Fox News anchor.
-
E.
Kathryn Cramer
Kathryn Cramer is an American science fiction editor, writer, and critic known for her work on influential anthologies and her contributions to speculative fiction.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc00880481909cc0dbc169663a41 |
completed | April 18, 2026, 7:31 p.m. |
Created at: April 10, 2026, 5:35 a.m.