Triple
T7723708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyquist plot |
E175076
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Harry Nyquist |
E32291
|
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: Harry Nyquist | Statement: [Nyquist plot, namedAfter, Harry Nyquist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Nyquist Context triple: [Nyquist plot, namedAfter, Harry Nyquist]
-
A.
Harry Nyquist
chosen
Harry Nyquist was a Swedish-American engineer and physicist whose pioneering work in information theory, telecommunications, and control systems laid foundational principles such as the Nyquist–Shannon sampling theorem and Nyquist stability criterion.
-
B.
Allan Kayser
Allan Kayser is an American actor best known for playing Bubba Higgins on the sitcom "Mama’s Family."
-
C.
Vinton Harper
Vinton Harper is a bumbling, good-natured son of Thelma "Mama" Harper and a central source of comic relief in the sitcom "Mama’s Family."
-
D.
John Hayes
John Hayes is a technology entrepreneur best known as a co-founder of the data storage company Pure Storage.
-
E.
John Edison Sweet
John Edison Sweet was an American mechanical engineer and inventor best known as a pioneering figure in the profession and an early leader in establishing standards and organization within the field.
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702f39fa48190b7b8a09446b5cf78 |
completed | March 27, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be2de08881909715d9164b743aae |
completed | March 29, 2026, 5:52 a.m. |
Created at: March 27, 2026, 4:05 p.m.