Triple
T5016620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iCloud Keychain |
E112752
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object |
LastPass
LastPass is a popular cloud-based password manager that securely stores and autofills users’ login credentials across devices.
|
E488093
|
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: LastPass | Statement: [iCloud Keychain, competesWith, LastPass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LastPass Context triple: [iCloud Keychain, competesWith, LastPass]
-
A.
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.
-
B.
OnePass
OnePass was Continental Airlines’ frequent flyer loyalty program that allowed passengers to earn and redeem miles for flights and travel rewards.
-
C.
iCloud Keychain
iCloud Keychain is Apple’s built-in password and secure information manager that syncs and autofills credentials, Wi‑Fi logins, and payment details across a user’s Apple devices.
-
D.
Duo Security
Duo Security is a cybersecurity company best known for its cloud-based multi-factor authentication and zero-trust access solutions.
-
E.
Orvault
Orvault is a suburban commune in western France, forming part of the metropolitan area of Nantes in the Loire-Atlantique department.
- 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: LastPass Triple: [iCloud Keychain, competesWith, LastPass]
Generated description
LastPass is a popular cloud-based password manager that securely stores and autofills users’ login credentials across devices.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LastPass Target entity description: LastPass is a popular cloud-based password manager that securely stores and autofills users’ login credentials across devices.
-
A.
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.
-
B.
OnePass
OnePass was Continental Airlines’ frequent flyer loyalty program that allowed passengers to earn and redeem miles for flights and travel rewards.
-
C.
iCloud Keychain
iCloud Keychain is Apple’s built-in password and secure information manager that syncs and autofills credentials, Wi‑Fi logins, and payment details across a user’s Apple devices.
-
D.
Duo Security
Duo Security is a cybersecurity company best known for its cloud-based multi-factor authentication and zero-trust access solutions.
-
E.
Orvault
Orvault is a suburban commune in western France, forming part of the metropolitan area of Nantes in the Loire-Atlantique department.
- 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_69bd4434acb8819086679dbeccc2fe54 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd732f4c5c8190b90f8e4daab458ee |
completed | March 20, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c5e06fc8190bdd875c04cefd789 |
completed | March 21, 2026, 1:25 p.m. |
| NEDg | Description generation | batch_69be9e2508bc81909f24dd56e01d83fa |
completed | March 21, 2026, 1:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be9e9b2d5c81908df67c69e7e96619 |
completed | March 21, 2026, 1:35 p.m. |
Created at: March 20, 2026, 1:35 p.m.