Triple
T6873310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elinor Miriam White |
E158605
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Elinor Miriam White |
E158605
|
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: Elinor Miriam White | Statement: [Elinor Miriam White, name, Elinor Miriam White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elinor Miriam White Context triple: [Elinor Miriam White, name, Elinor Miriam White]
-
A.
Elinor Miriam White
chosen
Elinor Miriam White was an American teacher and the longtime wife and early literary influence of poet Robert Frost.
-
B.
Elinor Mead
Elinor Mead was an American artist and intellectual known as the wife and close collaborator of novelist and critic William Dean Howells.
-
C.
Muriel Whiting
Muriel Whiting was the wife of British Royal Air Force commander Hugh Dowding, 1st Baron Dowding, noted for his leadership during the Battle of Britain.
-
D.
Helen Magill White
Helen Magill White was an American educator and classicist notable for being the first woman in the United States to earn a Ph.D. degree.
-
E.
Flora Hewlett
Flora Hewlett was a philanthropist whose legacy is honored through the naming of the William and Flora Hewlett Foundation, a major charitable organization.
- 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8c73ea08190b6bb1463e7ead47b |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748c35d488190a26785dbfe830066 |
completed | March 28, 2026, 3:19 a.m. |
Created at: March 27, 2026, 2:22 p.m.