Triple
T10496942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Margaret Fuller |
E247561
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Margaret Crane Fuller |
E237384
|
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: Margaret Crane Fuller | Statement: [Sarah Margaret Fuller, mother, Margaret Crane Fuller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margaret Crane Fuller Context triple: [Sarah Margaret Fuller, mother, Margaret Crane Fuller]
-
A.
Margaret Crane Fuller
chosen
Margaret Crane Fuller was the mother of American journalist, critic, and women's rights advocate Margaret Fuller.
-
B.
Isabel Sanford
Isabel Sanford was an American actress best known for her Emmy-winning role as Louise "Weezy" Jefferson on the groundbreaking sitcom The Jeffersons.
-
C.
Beatrice Warren
Beatrice Warren was a physicist whose contributions to the field of diffraction physics were significant enough to have a prestigious scientific award named in her honor.
-
D.
Ellen Church
Ellen Church was an American nurse and aviation pioneer recognized as the world’s first female flight attendant.
-
E.
Gertrude Warren
Gertrude Warren was the wife of American actor and musician Preston Foster.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098cd82c8190b44127a66c9c75ae |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dcbafe9481908fb23cfdf150adac |
completed | April 10, 2026, 11:19 a.m. |
Created at: April 6, 2026, 12:24 p.m.