Triple
T19487340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosie |
E487544
|
entity |
| Predicate | hasRelatedName |
P3889
|
FINISHED |
| Object | Rosalyn |
—
|
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: Rosalyn | Statement: [Rosie, hasRelatedName, Rosalyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosalyn Context triple: [Rosie, hasRelatedName, Rosalyn]
-
A.
Rosalyn
chosen
Rosalyn is a feminine given name, often considered a variant of Rosalind or Rose, typically associated with meanings related to "rose" and beauty.
-
B.
Marilynn
Marilynn is a feminine given name, often considered a variant of Marilyn or a combination of Mary and Lynn.
-
C.
Arlene
Arlene is a feminine given name of English origin that has been borne by various notable figures in arts, entertainment, and public life.
-
D.
Rosa Rhodes
Rosa Rhodes is known as the wife of geologist and former Cornell University president Frank H. T. Rhodes.
-
E.
Mary Ruth
Mary Ruth is a fictional character featured in the American television sitcom "The Debbie Reynolds Show."
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63441434081909bf26259bab677fe |
completed | April 20, 2026, 2:12 p.m. |
Created at: April 10, 2026, 1:39 p.m.