Triple

T17587599
Position Surface form Disambiguated ID Type / Status
Subject Actian E428364 entity
Predicate product P490 FINISHED
Object Actian Vector 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: Actian Vector | Statement: [Actian, product, Actian Vector]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Actian Vector
Context triple: [Actian, product, Actian Vector]
  • A. Actian chosen
    Actian is a data management and analytics company known for its hybrid data platforms and database technologies used in enterprise applications.
  • B. Vertica
    Vertica is a high-performance, column-oriented analytical database system designed for large-scale data warehousing and real-time analytics.
  • C. VoltDB
    VoltDB is a high-performance, in-memory, distributed SQL database designed for real-time analytics and transaction processing at massive scale.
  • D. Kinetica
    Kinetica is a proprietary game engine developed by Sony Computer Entertainment, known for powering several early PlayStation 2 titles.
  • E. Teradata
    Teradata is an enterprise-grade relational database management system and data warehousing platform designed for large-scale analytics and business intelligence workloads.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469e41bf08190963848f1597b6e9f completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.