Triple
T3956644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophia Petrillo |
E85795
|
entity |
| Predicate | friend |
P8712
|
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: [Sophia Petrillo, friend, Rose Nylund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rose Nylund Context triple: [Sophia Petrillo, friend, 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.
Gwynne Gilford
Gwynne Gilford is an American former actress who appeared in film and television in the 1970s and 1980s.
-
C.
June Mulgrew
June Mulgrew is a New Zealand woman best known as the second wife of famed mountaineer Sir Edmund Hillary.
-
D.
Nora Rowley
Nora Rowley is a central fictional character in Anthony Trollope’s novel "He Knew He Was Right," notable for her intelligence, independence, and complex romantic choices within Victorian society.
-
E.
Eileen Herlie
Eileen Herlie was a Scottish-American actress best known for her classical stage work and prominent film and television roles, including notable Shakespearean performances.
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef95bbb9c8190bd64c5b7ea2f341a |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf28ea49588190bf1bc4cb3ca4dcee |
completed | March 21, 2026, 11:25 p.m. |
Created at: March 9, 2026, 3:31 p.m.