Triple

T6790664
Position Surface form Disambiguated ID Type / Status
Subject Permira E155921 entity
Predicate notableInvestment P3488 FINISHED
Object Genesys E72316 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: Genesys | Statement: [Permira, notableInvestment, Genesys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Genesys
Context triple: [Permira, notableInvestment, Genesys]
  • A. Genesys chosen
    Genesys is a global customer experience and contact center technology company known for its cloud-based solutions that help businesses manage and optimize customer interactions.
  • B. Avaya
    Avaya is an American multinational technology company specializing in business communications, unified communications, and contact center solutions for enterprises and organizations worldwide.
  • C. Tellme Networks
    Tellme Networks was a voice-recognition and interactive voice response (IVR) technology company best known for providing speech-enabled telephone services and platforms, later acquired by Microsoft.
  • D. Megaco
    Megaco is a signaling protocol used in telecommunications networks to control media gateways that connect different types of communication systems, such as VoIP and traditional telephone networks.
  • E. Plaxo
    Plaxo was an online address book and social networking service that helped users manage and synchronize their contact information across multiple platforms.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2acbfc0819081f2d6cebfb91765 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a8c445c8190abea97a04d648f52 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:15 p.m.