Triple
T19508786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LastPass |
E488093
|
entity |
| Predicate | supportsImportFrom |
P8463
|
FINISHED |
| Object |
KeePass
KeePass is a free, open-source password manager that securely stores and organizes passwords in an encrypted local database.
|
E1380171
|
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: KeePass | Statement: [LastPass, supportsImportFrom, KeePass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KeePass Context triple: [LastPass, supportsImportFrom, KeePass]
-
A.
Bitwarden
Bitwarden is an open-source, cross-platform password manager that securely stores and syncs passwords and other sensitive data across devices.
-
B.
LastPass
LastPass is a popular cloud-based password manager that securely stores and autofills users’ login credentials across devices.
-
C.
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.
-
D.
KWallet
KWallet is KDE’s password and secret management system that securely stores and organizes user credentials and other sensitive data for applications.
-
E.
OnePass
OnePass was Continental Airlines’ frequent flyer loyalty program that allowed passengers to earn and redeem miles for flights and travel rewards.
- 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: KeePass Triple: [LastPass, supportsImportFrom, KeePass]
Generated description
KeePass is a free, open-source password manager that securely stores and organizes passwords in an encrypted local database.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KeePass Target entity description: KeePass is a free, open-source password manager that securely stores and organizes passwords in an encrypted local database.
-
A.
Bitwarden
Bitwarden is an open-source, cross-platform password manager that securely stores and syncs passwords and other sensitive data across devices.
-
B.
LastPass
LastPass is a popular cloud-based password manager that securely stores and autofills users’ login credentials across devices.
-
C.
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.
-
D.
KWallet
KWallet is KDE’s password and secret management system that securely stores and organizes user credentials and other sensitive data for applications.
-
E.
OnePass
OnePass was Continental Airlines’ frequent flyer loyalty program that allowed passengers to earn and redeem miles for flights and travel rewards.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6351426448190aec1ee26c09faa24 |
completed | April 20, 2026, 2:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0747216ce4819084a42dd1d8b095d5 |
completed | May 15, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_6a0747f6b1d48190a3e70576ddb4feb2 |
completed | May 15, 2026, 4:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07492259488190a8c405598f9c8878 |
completed | May 15, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:40 p.m.