Triple
T4779240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Easty |
E106131
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Sarah Cloyce |
E33874
|
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: Sarah Cloyce | Statement: [Mary Easty, sibling, Sarah Cloyce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Cloyce Context triple: [Mary Easty, sibling, Sarah Cloyce]
-
A.
Sarah Cloyce
chosen
Sarah Cloyce was a woman accused during the Salem witch trials, known for being the sister of fellow accused Rebecca Nurse and for later helping to challenge the legitimacy of the proceedings.
-
B.
Celia Ladd
Celia Ladd is the wife of acclaimed film director and screenwriter John Huston.
-
C.
Eliza Coyle
Eliza Coyle is an American actress known for her work in film and television and her long-time marriage to actor Joel Murray.
-
D.
Sarah Pierce
Sarah Pierce was an early American educator best known for establishing one of the first and most influential schools for young women in the United States.
-
E.
Mary Carr
Mary Carr was an American character actress of the silent and early sound film era, often cast as kindly maternal figures.
- 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd658a86288190bc80651840ce6b18 |
completed | March 20, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67c4460c81909d93ea5fcfa200e2 |
completed | March 21, 2026, 9:41 a.m. |
Created at: March 20, 2026, 1:21 p.m.