Triple
T14087529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose Nylund |
E339035
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Rose Nylund |
E339035
|
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: Rose Nylund | Statement: [Rose Nylund, fullName, Rose Nylund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rose Nylund Context triple: [Rose Nylund, fullName, Rose Nylund]
-
A.
Rose Nylund
chosen
Rose Nylund is a sweet, naive, and hilariously literal-minded Midwestern woman portrayed by Betty White on the classic sitcom "The Golden Girls."
-
B.
Eileen Morrow
Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
-
C.
Nora Mellon
Nora Mellon was a member of the prominent Mellon family after whom the industrial town of Donora, Pennsylvania, was named.
-
D.
Meryl Swanson
Meryl Swanson is an Australian politician and member of the House of Representatives for the Labor Party.
-
E.
Eileen Hale
Eileen Hale was the wife of influential American street photographer Garry Winogrand.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee1ce88819091c983286289337e |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a5c72008190a3c4df20480850c9 |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 9, 2026, 10:21 p.m.