Triple
T22983740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellen Tucker |
E571542
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ellen Louisa Tucker |
—
|
NE NERFINISHED |
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: Ellen Louisa Tucker | Statement: [Ellen Tucker, name, Ellen Louisa Tucker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellen Louisa Tucker Context triple: [Ellen Tucker, name, Ellen Louisa Tucker]
-
A.
Ellen Louisa Tucker
chosen
Ellen Louisa Tucker was the first wife of American transcendentalist writer Ralph Waldo Emerson, whose early death deeply influenced his life and work.
-
B.
Ellen Andrews
Ellen Andrews is the mother who magically swaps bodies with her teenage daughter in the 1976 fantasy-comedy film "Freaky Friday."
-
C.
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.
-
D.
Ellen Collett
Ellen Collett is a film producer best known for her work on the 1998 coming-of-age comedy "Slums of Beverly Hills."
-
E.
Ellen Ruggles
Ellen Ruggles was the wife of 19th-century New York lawyer and diarist George Templeton Strong.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1829775e881909c5d6d35d3fd57f7 |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:49 p.m.