Triple
T9018151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KDE Frameworks |
E215645
|
entity |
| Predicate | component |
P35
|
FINISHED |
| Object |
KWallet
KWallet is KDE’s password and secret management system that securely stores and organizes user credentials and other sensitive data for applications.
|
E773008
|
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: KWallet | Statement: [KDE Frameworks, component, KWallet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KWallet Context triple: [KDE Frameworks, component, KWallet]
-
A.
OnePass
OnePass was Continental Airlines’ frequent flyer loyalty program that allowed passengers to earn and redeem miles for flights and travel rewards.
-
B.
Luks
Luks is the surname of American realist painter and Ashcan School member George Luks.
-
C.
Keychain
Keychain is Apple's built-in password and credentials manager that securely stores and autofills logins, certificates, and other sensitive information across its devices and apps.
-
D.
Bitwarden
Bitwarden is an open-source, cross-platform password manager that securely stores and syncs passwords and other sensitive data across devices.
-
E.
1Password
1Password is a popular cross-platform password manager that securely stores and autofills passwords, payment details, and other sensitive information for individuals and teams.
- 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: KWallet Triple: [KDE Frameworks, component, KWallet]
Generated description
KWallet is KDE’s password and secret management system that securely stores and organizes user credentials and other sensitive data for applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KWallet Target entity description: KWallet is KDE’s password and secret management system that securely stores and organizes user credentials and other sensitive data for applications.
-
A.
OnePass
OnePass was Continental Airlines’ frequent flyer loyalty program that allowed passengers to earn and redeem miles for flights and travel rewards.
-
B.
Luks
Luks is the surname of American realist painter and Ashcan School member George Luks.
-
C.
Keychain
Keychain is Apple's built-in password and credentials manager that securely stores and autofills logins, certificates, and other sensitive information across its devices and apps.
-
D.
Bitwarden
Bitwarden is an open-source, cross-platform password manager that securely stores and syncs passwords and other sensitive data across devices.
-
E.
1Password
1Password is a popular cross-platform password manager that securely stores and autofills passwords, payment details, and other sensitive information for individuals and teams.
- 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_69ca83a38aa88190bf1bb80c4548b5e2 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a3ef98081909e66372a89f881b9 |
completed | April 1, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbabd6108190aa2f3c6f59d7999c |
completed | April 3, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69cfdc48f22081909f17ec4c5542da47 |
completed | April 3, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfdcecebe48190a2ede4c8400b3b42 |
completed | April 3, 2026, 3:29 p.m. |
Created at: March 30, 2026, 7:07 p.m.