Triple

T19508724
Position Surface form Disambiguated ID Type / Status
Subject LastPass E488093 entity
Predicate formerParentOrganization P5106 FINISHED
Object LogMeIn NE NERFINISHED

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: LogMeIn | Statement: [LastPass, formerParentOrganization, LogMeIn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LogMeIn
Context triple: [LastPass, formerParentOrganization, LogMeIn]
  • A. LogMeIn chosen
    LogMeIn is a software company best known for its remote access, remote support, and collaboration tools for businesses and individuals.
  • B. Logon
    Logon is a small coastal village on Malapascua Island in the Philippines, known as the island’s main settlement and gateway for visitors.
  • C. TeamViewer
    TeamViewer is a German software company best known for its remote access and remote control solutions that allow users to connect to and manage devices over the internet.
  • D. PC-Anywhere
    PC-Anywhere is a remote control and remote access software application that allows users to connect to and manage computers over a network or the internet.
  • E. Catemu
    Catemu is a small Chilean town and commune located in the Valparaíso Region, known for its agricultural activity within the Aconcagua Valley.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 10, 2026, 1:40 p.m.