Triple

T22178242
Position Surface form Disambiguated ID Type / Status
Subject Nature Reviews Molecular Cell Biology E548101 entity
Predicate publisher P29 FINISHED
Object Springer Nature 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: Springer Nature | Statement: [Nature Reviews Molecular Cell Biology, publisher, Springer Nature]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Springer Nature
Context triple: [Nature Reviews Molecular Cell Biology, publisher, Springer Nature]
  • A. Springer Nature chosen
    Springer Nature is a major global academic publishing company known for producing high-impact scientific, technical, and medical journals and books.
  • B. Elsevier
    Elsevier is a major Dutch academic publishing company known for producing and distributing scientific, technical, and medical journals, books, and research databases worldwide.
  • C. Springer
    Springer is a major global academic publishing company known for its extensive catalog of scientific, technical, and medical books and journals.
  • D. Springer
    Springer is a surname most prominently associated in contemporary sports with George Springer, an American professional baseball outfielder and World Series MVP.
  • E. Springer
    Springer is an Autobot action hero from the Transformers franchise, known for his green triple-changing form and prominent role in the 1986 animated film.
  • 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a6dd5a081908035e81c068d8d5a completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.