Triple
T22607696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sue Bayliss |
E566604
|
entity |
| Predicate | neighborOf |
P350
|
FINISHED |
| Object | Keller family |
—
|
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: Keller family | Statement: [Sue Bayliss, neighborOf, Keller family]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keller family Context triple: [Sue Bayliss, neighborOf, Keller family]
-
A.
Keller family
chosen
The Keller family is an American family best known as the childhood family of Helen Keller, whose historic home Ivy Green in Tuscumbia, Alabama, is preserved as a museum.
-
B.
Kennerly family
The Kennerly family is a historically notable American family known through members such as Harriet Kennerly Radford, who were active in early U.S. social and political life.
-
C.
Kolb family
The Kolb family was a Southern landowning family historically associated with the Kolb Farm in Georgia, notable for its role during the American Civil War.
-
D.
Kimball family
The Kimball family is a benefactor family recognized for its significant philanthropic contributions to institutions such as the Kimball Natural History Museum.
-
E.
Hauser family
The Hauser family is a philanthropic family known for its significant support of legal education and global academic initiatives, particularly at New York University School of Law.
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167e75658819089153eab7563540c |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 2:55 p.m.