Triple

T412539
Position Surface form Disambiguated ID Type / Status
Subject Marian Smoluchowski E9520 entity
Predicate familyName P18 FINISHED
Object Smoluchowski E9520 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: Smoluchowski | Statement: [Marian Smoluchowski, familyName, Smoluchowski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smoluchowski
Context triple: [Marian Smoluchowski, familyName, Smoluchowski]
  • A. Marian Smoluchowski chosen
    Marian Smoluchowski was a Polish physicist and pioneer of statistical physics whose work on molecular motion and fluctuations helped establish the kinetic theory of matter and advanced the understanding of Brownian motion.
  • B. Stanisław Ostrowski
    Stanisław Ostrowski was a Polish politician and physician who served as President of the Polish government-in-exile during the Cold War era.
  • C. Schröder
    Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
  • D. Mie
    Mie is a prefecture in central Japan known for its coastal landscapes, historic Ise Grand Shrine, and traditional pearl cultivation.
  • E. Einstein–Smoluchowski relation
    The Einstein–Smoluchowski relation is a fundamental equation in statistical physics that links the diffusion coefficient of particles undergoing Brownian motion to their mobility and thermal energy.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecdafa2481908111accc918ff2e8 completed Feb. 28, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a41b4b71ec8190a6fda4dc4e4fc3ac completed March 1, 2026, 10:56 a.m.
Created at: Feb. 28, 2026, 1:09 p.m.