Triple

T19016169
Position Surface form Disambiguated ID Type / Status
Subject Gerd Arntz E465354 entity
Predicate fieldOfWork P3 FINISHED
Object Isotype 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: Isotype | Statement: [Gerd Arntz, fieldOfWork, Isotype]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isotype
Context triple: [Gerd Arntz, fieldOfWork, Isotype]
  • A. Isotype chosen
    Isotype is a visual communication system that uses standardized pictograms and charts to present complex statistical information in a clear, accessible way.
  • B. ISOTYPE
    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.
  • C. Isotype movement
    The Isotype movement was an influential early 20th-century approach to visual communication that used standardized pictograms and charts to present social and economic data in a clear, accessible way.
  • D. Hartis
    Hartis is a prominent Somali clan family that forms one of the major lineages within the broader Somali clan system.
  • E. 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.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6db04fc819094709f223e30a526 completed April 20, 2026, 7:33 a.m.
Created at: April 10, 2026, 12:02 p.m.