Triple

T4381741
Position Surface form Disambiguated ID Type / Status
Subject Zyvex E99145 entity
Predicate hasDivision P35 FINISHED
Object Zyvex Labs E99145 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: Zyvex Labs | Statement: [Zyvex, hasDivision, Zyvex Labs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zyvex Labs
Context triple: [Zyvex, hasDivision, Zyvex Labs]
  • A. Zyvex chosen
    Zyvex is a pioneering nanotechnology company known for its early work in molecular nanotechnology and advanced manufacturing.
  • B. Valar Ventures
    Valar Ventures is a global venture capital firm known for backing high-growth technology startups, particularly in fintech and internet-enabled businesses outside Silicon Valley.
  • C. Onex
    Onex is a suburban municipality in western Switzerland located just outside the city of Geneva.
  • D. Bazelevs Company
    Bazelevs Company is a Russian film production company founded by director Timur Bekmambetov, known for producing genre films and pioneering screenlife-style movies.
  • E. Rock Ventures
    Rock Ventures is a Detroit-based holding and investment company that oversees Dan Gilbert’s portfolio of businesses spanning real estate, sports, finance, and technology.
  • 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_69b3454ea8f48190a49c2436624d6ef6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352613dd481909e008a8db239a108 completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5e210108190bf14731ce3774b6b completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:18 p.m.