Triple
T20808237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Boland |
E512223
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mary Boland |
—
|
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: Mary Boland | Statement: [Mary Boland, name, Mary Boland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Boland Context triple: [Mary Boland, name, Mary Boland]
-
A.
Mary Boland
chosen
Mary Boland was an American stage and film actress best known for her comedic character roles in early 20th-century Hollywood cinema.
-
B.
Jane Boland
Jane Boland is a fictional character from the television series "Good Girls," known as the daughter of main character Beth Boland.
-
C.
Mary O'Leary
Mary O'Leary is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the O'Leary surname.
-
D.
Elisabeth Dermot Walsh
Elisabeth Dermot Walsh is an English actress best known for her long-running role as Zara Carmichael in the BBC medical drama "Doctors."
-
E.
Mary Cleary
Mary Cleary was the wife of Commodore John Barry, an early U.S. naval officer often called the "Father of the American Navy."
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d0a2a081908fb0e3d890e87aaf |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:40 p.m.