Triple
T9332381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Bodley |
E224553
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Anne Ball |
E791483
|
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: Anne Ball | Statement: [Thomas Bodley, spouse, Anne Ball]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Ball Context triple: [Thomas Bodley, spouse, Anne Ball]
-
A.
Ann Ball
chosen
Ann Ball was the wife of Sir Thomas Bodley, the English diplomat and scholar best known for founding the Bodleian Library at Oxford.
-
B.
Eleanor Ball
Eleanor Ball was an American woman known primarily as the birth name of Eleanor Ball Laurens, a member of the prominent Laurens family in early United States history.
-
C.
Henrietta Ball
Henrietta Ball was the wife of Canadian physician and Nobel laureate Frederick Banting, co-discoverer of insulin.
-
D.
Jane Bolling
Jane Bolling was a colonial Virginian woman of the prominent Bolling family, noted as an ancestor of several influential figures in early American history.
-
E.
Mary Matthews
Mary Matthews is the idealistic socialite protagonist of the 1945 political drama film "State of the Union," who becomes entangled in her husband's bid for the U.S. presidency.
- 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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37afceb88190ad7ffbc7b47a1caa |
completed | April 1, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e3c30ba88190b192621928136b87 |
completed | April 4, 2026, 10:11 a.m. |
Created at: March 30, 2026, 7:39 p.m.