Triple
T83923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutchess County |
E1687
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Clinton
Clinton is a small town in Dutchess County, New York, known for its rural character and historic Hudson Valley setting.
|
E32590
|
NE FINISHED |
How this triple was built (4 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: Clinton | Statement: [Dutchess County, containsSettlement, Clinton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clinton Context triple: [Dutchess County, containsSettlement, Clinton]
-
A.
Howard
Howard is the middle name of Edwin H. Armstrong, the pioneering American electrical engineer and inventor of FM radio.
-
B.
Howard
Howard is a volume series of early U.S. Supreme Court case reports compiled by Benjamin Chew Howard, later incorporated into the official United States Reports.
-
C.
Barack Obama
Barack Obama is an American politician and attorney who served as the 44th president of the United States and the first African American to hold the office.
-
D.
Donald Trump
Donald Trump is an American businessman, television personality, and politician who served as the 45th president of the United States from 2017 to 2021.
-
E.
Wilson
Wilson is a common English-language surname borne by numerous notable figures across fields such as science, politics, sports, and the arts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Clinton Triple: [Dutchess County, containsSettlement, Clinton]
Generated description
Clinton is a small town in Dutchess County, New York, known for its rural character and historic Hudson Valley setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clinton Target entity description: Clinton is a small town in Dutchess County, New York, known for its rural character and historic Hudson Valley setting.
-
A.
Howard
Howard is the middle name of Edwin H. Armstrong, the pioneering American electrical engineer and inventor of FM radio.
-
B.
Howard
Howard is a volume series of early U.S. Supreme Court case reports compiled by Benjamin Chew Howard, later incorporated into the official United States Reports.
-
C.
Barack Obama
Barack Obama is an American politician and attorney who served as the 44th president of the United States and the first African American to hold the office.
-
D.
Donald Trump
Donald Trump is an American businessman, television personality, and politician who served as the 45th president of the United States from 2017 to 2021.
-
E.
Wilson
Wilson is a common English-language surname borne by numerous notable figures across fields such as science, politics, sports, and the arts.
- F. None of above. chosen
Provenance (5 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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a2567c90308190a9b989c586f7e559 |
completed | Feb. 28, 2026, 2:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a373691e348190b18f8019183469dc |
completed | Feb. 28, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69a3755e8e208190870d0e19575c9a04 |
completed | Feb. 28, 2026, 11:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a375b430548190aeca5f0fd8e22cbe |
completed | Feb. 28, 2026, 11:09 p.m. |
Created at: Feb. 28, 2026, 2:06 a.m.