Triple

T16702591
Position Surface form Disambiguated ID Type / Status
Subject Firefox Monitor E405888 entity
Predicate usesDataSource P11520 FINISHED
Object Have I Been Pwned E721441 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: Have I Been Pwned | Statement: [Firefox Monitor, usesDataSource, Have I Been Pwned]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Have I Been Pwned
Context triple: [Firefox Monitor, usesDataSource, Have I Been Pwned]
  • A. Have I Been Pwned chosen
    Have I Been Pwned is a widely used online service that lets people and organizations check whether their email addresses or accounts have appeared in known data breaches.
  • B. VulnDB
    VulnDB is a comprehensive vulnerability database that catalogs security flaws and exposures to support assessment, remediation, and integration with security tools.
  • C. DashPass
    DashPass is DoorDash’s subscription program that offers members benefits like reduced delivery fees and other savings on food and grocery orders.
  • D. Sucuri
    Sucuri is a website security company best known for its malware removal, firewall, and protection services for websites and online businesses.
  • E. LastPass
    LastPass is a popular cloud-based password manager that securely stores and autofills users’ login credentials across devices.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e383326d7081909ef4c3b724876513 completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a0dee08190a67ed5df2008c91e completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.