Triple

T2556626
Position Surface form Disambiguated ID Type / Status
Subject Niklas Zennström E56742 entity
Predicate founded P104 FINISHED
Object Atomico E277032 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: Atomico | Statement: [Niklas Zennström, founded, Atomico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atomico
Context triple: [Niklas Zennström, founded, Atomico]
  • A. Atomico chosen
    Atomico is a London-based venture capital firm known for investing in innovative technology startups, founded by Skype co-creator Niklas Zennström.
  • B. Les Atomes
    Les Atomes is a seminal scientific work by Jean Perrin that helped establish the reality of atoms through experimental evidence and clear popular exposition of atomic theory.
  • C. Fission
    "Fission" is a prominent track from Ludwig Göransson’s score for the film *Oppenheimer*, known for its tense, evolving soundscape that underscores the movie’s central themes of scientific breakthrough and moral conflict.
  • D. Atom
    Atom is a free and open-source text and source code editor developed by GitHub, known for its hackability, rich plugin ecosystem, and cross-platform support.
  • E. Atom
    Atom is a family of low-power x86 microprocessors developed by Intel, primarily designed for use in netbooks, embedded systems, and energy-efficient devices.
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd310b3a48190b275be13eb050e57 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af655f72fc81908a85a69f95d0b827 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:48 p.m.