Triple
T10818668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potter Stewart |
E255300
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Mary Ann Bertles |
E255300
|
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: Mary Ann Bertles | Statement: [Potter Stewart, spouse, Mary Ann Bertles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Ann Bertles Context triple: [Potter Stewart, spouse, Mary Ann Bertles]
-
A.
Mary Ann Bertles
chosen
Mary Ann Bertles was the wife of U.S. Supreme Court Justice Potter Stewart.
-
B.
Mary Ann Bernard
Mary Ann Bernard is a film editor best known for her work on the biographical drama "Behind the Candelabra."
-
C.
Mary Ann Elisa Birch
Mary Ann Elisa Birch was the English-born wife of French Romantic poet and statesman Alphonse de Lamartine.
-
D.
Mary Brewster
Mary Brewster was the wife of American statesman and signer of the U.S. Constitution William Samuel Johnson.
-
E.
Mary Brewster
Mary Brewster was a social reformer and nurse best known as a co-founder of New York City's pioneering Henry Street Settlement, which provided social services and healthcare to impoverished communities.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7344866f88190be4addb7c8020fce |
completed | April 9, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a91a3e1c819083ef144e7fd5603f |
completed | April 18, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:18 p.m.