Triple
T11560557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stochastic Processes |
E274130
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | E. Parzen |
E55391
|
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: E. Parzen | Statement: [Stochastic Processes, author, E. Parzen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E. Parzen Context triple: [Stochastic Processes, author, E. Parzen]
-
A.
Emanuel Parzen
chosen
Emanuel Parzen was an American statistician renowned for pioneering kernel density estimation, particularly through the development of the Parzen window method.
-
B.
Herbert Parzen
Herbert Parzen was a Jewish scholar and historian known for his contributions to the study of Jewish history and culture.
-
C.
Parzen
Parzen is a surname most notably associated with Emanuel Parzen, an American statistician known for the Parzen window method in probability and statistics.
-
D.
Dennis Michie
Dennis Michie was a U.S. Army officer and early football coach at West Point who is honored as the namesake of the United States Military Academy’s Michie Stadium.
-
E.
M. Kumaresan
M. Kumaresan is an Indian cyclist renowned for his national and international achievements, who was honored with the role of lighting the torch at the 1998 Commonwealth Games.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a899d4481909a3bce3147763b51 |
completed | April 10, 2026, 5:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef824898e48190abb18307aa917c0c |
completed | April 27, 2026, 3:35 p.m. |
Created at: April 8, 2026, 9:37 p.m.