Triple
T9504450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethel du Pont |
E229226
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Ethel Pyle |
E229226
|
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: Ethel Pyle | Statement: [Ethel du Pont, child, Ethel Pyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ethel Pyle Context triple: [Ethel du Pont, child, Ethel Pyle]
-
A.
Ethel Pyle
chosen
Ethel Pyle is the daughter of American heiress and socialite Ethel du Pont.
-
B.
Edith Willkie
Edith Willkie was the wife of 1940 Republican presidential nominee Wendell Willkie and an American civic figure active in public and charitable affairs.
-
C.
Barbara Follett
Barbara Follett is a British Labour politician and former Member of Parliament who served as a government minister under Prime Minister Gordon Brown.
-
D.
Jean Stafford
Jean Stafford was an American novelist and short story writer known for her psychologically acute fiction and for winning the 1970 Pulitzer Prize for Fiction.
-
E.
Fannie Hurst
Fannie Hurst was a popular early 20th-century American novelist and short-story writer known for her melodramatic tales of women’s lives and social issues, many of which were adapted into successful films.
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9850fe6c8190a5a96cfae12562c6 |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c09b9f88190b279335b5289defb |
completed | April 4, 2026, 5:36 p.m. |
Created at: March 30, 2026, 7:57 p.m.