Triple
T17876680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emery |
E446971
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Sarah Jane Emery |
—
|
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: Sarah Jane Emery | Statement: [Emery, hasNotableBearer, Sarah Jane Emery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Jane Emery Context triple: [Emery, hasNotableBearer, Sarah Jane Emery]
-
A.
Sarah Jane Emery
chosen
Sarah Jane Emery was the wife of Hannibal Hamlin, who served as vice president of the United States under Abraham Lincoln.
-
B.
Alexandra Wise
Alexandra Wise is known as the spouse of British video game composer David Wise.
-
C.
Carina Smyth
Carina Smyth is an intelligent and determined astronomer and horologist who becomes a key ally to Jack Sparrow in the film "Pirates of the Caribbean: Dead Men Tell No Tales."
-
D.
Mary Thorne
Mary Thorne is the gentle, principled heroine of Anthony Trollope’s novel "Doctor Thorne," whose uncertain social status and romantic struggles drive much of the story’s drama.
-
E.
Mary Thorne
Mary Thorne is a film producer best known for her work on Disney’s animated sequel "Cinderella II: Dreams Come True."
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa6d24081908212e10d07c85a2b |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 10:18 a.m.