Triple
T9731293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marjorie Frost |
E235747
|
entity |
| Predicate | notableRelative |
P367
|
FINISHED |
| Object | Carol Frost |
E175503
|
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: Carol Frost | Statement: [Marjorie Frost, notableRelative, Carol Frost]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carol Frost Context triple: [Marjorie Frost, notableRelative, Carol Frost]
-
A.
Carol Frost
chosen
Carol Frost was one of the daughters of renowned American poet Robert Frost, whose life was marked by personal struggles and tragedy.
-
B.
Susan Pringle Frost
Susan Pringle Frost was a pioneering Charleston preservationist and real estate developer who played a key role in saving and restoring many of the city’s historic buildings.
-
C.
Elinor Bettina Frost
Elinor Bettina Frost was one of the daughters of renowned American poet Robert Frost.
-
D.
Elizabeth Snodgrass
Elizabeth Snodgrass is a person notable enough to be specifically cited as a bearer of the Snodgrass surname.
-
E.
Carol Stevens
Carol Stevens is best known as one of the former wives of American novelist and journalist Norman Mailer.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eb2373c81909139c7a2ff2aa541 |
completed | April 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1afba5ec081908044a4aefdc6f9ee |
completed | April 5, 2026, 12:41 a.m. |
Created at: March 30, 2026, 8:21 p.m.