Triple

T11467595
Position Surface form Disambiguated ID Type / Status
Subject International Typographic Style (influence) E271816 entity
Predicate influencesPractice P99437 FINISHED
Object use of modular grids in layout LITERAL 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: use of modular grids in layout | Statement: [International Typographic Style (influence), influencesPractice, use of modular grids in layout]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: influencesPractice
Context triple: [International Typographic Style (influence), influencesPractice, use of modular grids in layout]
  • A. influencesFocus
    Indicates that one entity affects or shapes the attention, concentration, or focal priorities of another entity.
  • B. influenced
    Indicates that one entity has affected, shaped, or altered another entity’s state, behavior, or characteristics.
  • C. designInfluenceOn
    Indicates that one design, designer, or design-related factor has an effect on shaping, guiding, or altering another design or design outcome.
  • D. typeOfInfluence
    Indicates the specific nature or category of influence that one entity exerts on another.
  • E. influencesCommunity
    Indicates that one entity has an effect on the behavior, attitudes, or conditions of a community.
  • F. None of above. chosen

Provenance (4 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d82949e3688190b024a4980666c94f completed April 9, 2026, 10:33 p.m.
PD Predicate disambiguation batch_69d8086ecd6c81908f424864857762d6 completed April 9, 2026, 8:13 p.m.
PDg Predicate description generation batch_69d8279925e4819089210611c0d8e61a completed April 9, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:35 p.m.