Triple
T13739030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Barnhill |
E330029
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Margaret Barnhill |
E330029
|
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 Barnhill | Statement: [Margaret Barnhill, name, Margaret Barnhill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margaret Barnhill Context triple: [Margaret Barnhill, name, Margaret Barnhill]
-
A.
Margaret Barnhill
chosen
Margaret Barnhill was the wife of New York businessman Cornelius Van Schaack Roosevelt and the grandmother of U.S. President Theodore Roosevelt.
-
B.
Margaret Shepard
Margaret Shepard was a member of the prominent Vanderbilt family, known as the daughter of Margaret Louisa Vanderbilt Shepard and part of the influential American Gilded Age elite.
-
C.
Margaret Sexton
Margaret Sexton was the wife of U.S. Navy Rear Admiral William Thomas Sampson, a prominent figure in the Spanish–American War.
-
D.
Margaret Watkins
Margaret Watkins was an influential early 20th-century Canadian photographer known for her innovative still lifes and contributions to modernist photography.
-
E.
Margaret Welsh
Margaret Welsh is an American actress known for her work in film, television, and theater.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0204d50c8190a5413cc9a1b26e14 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2ce12e78819080b3fe19c57ef3ef |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 9, 2026, 9:55 p.m.