Triple

T3965612
Position Surface form Disambiguated ID Type / Status
Subject Marie Neurath E92209 entity
Predicate movement P81 FINISHED
Object Isotype E88573 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: Isotype | Statement: [Marie Neurath, movement, Isotype]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isotype
Context triple: [Marie Neurath, movement, Isotype]
  • A. ISOTYPE chosen
    ISOTYPE is a pictorial language and visual communication system developed in the 1920s–30s to present complex social and economic data through standardized icons and charts.
  • B. ISOTYPE visual communication system
    The ISOTYPE visual communication system is a pioneering method of using standardized pictograms and charts to present complex social and economic data in a clear, accessible way to broad audiences.
  • C. Fuhse
    Fuhse is a river in Lower Saxony, Germany, that flows through several towns before joining the Aller River.
  • D. Glespin
    Glespin is a small rural village in South Lanarkshire, Scotland, situated within the Douglasdale area.
  • E. Acrivos
    Acrivos is a Greek-origin surname most notably associated with Andreas Acrivos, a prominent chemical engineer and fluid dynamicist.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef97520588190922e56201fc3ca52 completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533be4a688190a7d011ae2858e6ed completed March 14, 2026, 10:09 a.m.
Created at: March 9, 2026, 3:31 p.m.