Triple
T8534573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Marshall |
E202045
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Mary Willis Ambler |
E202045
|
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 Willis Ambler | Statement: [John Marshall, spouse, Mary Willis Ambler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Willis Ambler Context triple: [John Marshall, spouse, Mary Willis Ambler]
-
A.
Mary Willis Ambler
chosen
Mary Willis Ambler was the wife of U.S. Supreme Court Chief Justice John Marshall and a member of a prominent Virginia family in the late 18th and early 19th centuries.
-
B.
Ethel Fogg Anderson
Ethel Fogg Anderson was the mother of acclaimed American actor Montgomery Clift.
-
C.
Mary Bingham
Mary Bingham is a notable member of the prominent Bingham family, recognized for her association with this influential lineage.
-
D.
Mary Evelyn Tucker
Mary Evelyn Tucker is a scholar of religion and ecology, co-founder of Yale’s Forum on Religion and Ecology, known for her work integrating environmental ethics with religious and philosophical thought.
-
E.
Virginia Kellogg
Virginia Kellogg was an American screenwriter best known for her hard-hitting crime and prison dramas in mid-20th-century Hollywood.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a0ccd4819097b41d0dfb1c5018 |
completed | March 31, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce890eb0b48190aa76cc955d00ec18 |
completed | April 2, 2026, 3:19 p.m. |
Created at: March 30, 2026, 6:17 p.m.