Triple
T8216719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kálmán |
E191950
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Kalman |
E62371
|
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: Kalman | Statement: [Kálmán, hasSpellingVariant, Kalman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalman Context triple: [Kálmán, hasSpellingVariant, Kalman]
-
A.
Kalman filter
The Kalman filter is a mathematical algorithm used to estimate the changing state of a system from noisy measurements, widely applied in control systems, navigation, and signal processing.
-
B.
extended Kalman filter
The extended Kalman filter is a state estimation algorithm that generalizes the Kalman filter to nonlinear systems by linearizing about the current estimate, widely used in robotics and control for tracking and localization.
-
C.
Youla
Youla is a Russian online classifieds platform for buying and selling goods and services, owned by the internet company Mail.ru Group (now VK).
-
D.
Hägglunds
Hägglunds is a Swedish defense and engineering company best known for developing and producing armored combat vehicles and other military land systems.
-
E.
Rudolf E. Kalman
chosen
Rudolf E. Kalman was a pioneering control theorist best known for developing the Kalman filter, a fundamental algorithm in modern control, signal processing, and navigation systems.
- 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_69ca82c8c054819087fedd9a5436b8a3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb776f41108190bed1c6a8ddbea374 |
completed | March 31, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccedfb6f608190aebfa720b56325e5 |
completed | April 1, 2026, 10:05 a.m. |
Created at: March 30, 2026, 5:44 p.m.