Triple

T5255345
Position Surface form Disambiguated ID Type / Status
Subject Blondie E118682 entity
Predicate notableSong P4 FINISHED
Object Atomic E506764 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: Atomic | Statement: [Blondie, notableSong, Atomic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atomic
Context triple: [Blondie, notableSong, Atomic]
  • A. Atomic chosen
    "Atomic" is a 1979 new wave song by the American band Blondie, known for its fusion of punk, disco, and sci‑fi themes and for becoming one of their signature hits.
  • B. 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.
  • C. 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.
  • D. Atomico
    Atomico is a London-based venture capital firm known for investing in innovative technology startups, founded by Skype co-creator Niklas Zennström.
  • E. Sankei Atoms
    Sankei Atoms was a former name of the Japanese professional baseball team now known as the Tokyo Yakult Swallows.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ba2f5d08190850529659901ae0f completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06bfa5e48190bc9313a39d95531e completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:50 p.m.