Triple
T9538340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fern Kraemer |
E230078
|
entity |
| Predicate | opposedParty |
P15297
|
FINISHED |
| Object | Ethel Shelley |
E110187
|
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 Shelley | Statement: [Fern Kraemer, opposedParty, Ethel Shelley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ethel Shelley Context triple: [Fern Kraemer, opposedParty, Ethel Shelley]
-
A.
Ethel Shelley
chosen
Ethel Shelley was one of the African American homeowners whose challenge to racially restrictive housing covenants led to the landmark 1948 U.S. Supreme Court decision in Shelley v. Kraemer.
-
B.
Maud Shaw
Maud Shaw is the protagonist of Louisa May Alcott’s novel "An Old-Fashioned Girl," embodying traditional values and modesty amid changing social norms.
-
C.
Ernestine Bradley
Ernestine Bradley is a German-American scholar and professor emerita of German and comparative literature, known for her academic work and public engagement in the United States.
-
D.
Emily Hodgkin
Emily Hodgkin is a person notable enough to be recognized as a bearer of the Hodgkin surname.
-
E.
Ethel Thayer
Ethel Thayer is a warm, resilient elderly woman and devoted wife in the play and film "On Golden Pond," known for her nurturing presence and steadying influence on her family.
- 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98cfead8819089a8f47ea83500a4 |
completed | April 1, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c5684308190a9cb2942f7d2f2b0 |
completed | April 4, 2026, 5:37 p.m. |
Created at: March 30, 2026, 8:01 p.m.