Triple

T12305241
Position Surface form Disambiguated ID Type / Status
Subject Verint Systems (offices/R&D) E293335 entity
Predicate operatedBy P86 FINISHED
Object Verint Systems E975682 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: Verint Systems | Statement: [Verint Systems (offices/R&D), operatedBy, Verint Systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verint Systems
Context triple: [Verint Systems (offices/R&D), operatedBy, Verint Systems]
  • A. Verint Systems chosen
    Verint Systems is a global analytics and customer engagement company that provides software and services for customer experience, workforce optimization, and security intelligence.
  • B. Wayne Technologies
    Wayne Technologies is a cutting-edge research and development firm in the Batman universe, known for creating advanced technology and equipment used by Bruce Wayne and his allies.
  • C. Tandberg
    Tandberg is a Norwegian company best known for its video conferencing and telepresence solutions, which became part of Cisco Systems after its acquisition.
  • D. Tesira
    Tesira is Biamp Systems’ networked audio and video platform known for scalable, DSP-based solutions in professional AV installations.
  • E. Genesys
    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.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f00695c8190b7365e4593631690 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a9b8ef88190bce122f1b1800cd4 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.