Triple

T8777270
Position Surface form Disambiguated ID Type / Status
Subject Don’t Tread on Me E208615 entity
Predicate hasStyleDescriptor P1609 FINISHED
Object aggressive 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: aggressive | Statement: [Don’t Tread on Me, hasStyleDescriptor, aggressive]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStyleDescriptor
Context triple: [Don’t Tread on Me, hasStyleDescriptor, aggressive]
  • A. hasStyle chosen
    Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
  • B. hasSystemStyle
    Indicates that one entity is associated with, or characterized by, a particular system-defined style of another entity.
  • C. hasSubstyle
    Indicates that one style is a more specific or subordinate variant of another style within a hierarchical style structure.
  • D. hasStructuralStyle
    Indicates that one entity possesses, exhibits, or is characterized by a particular architectural or structural design style.
  • E. hasHigherStyleThan
    Indicates that one entity’s style is considered superior or more fashionable than another’s.
  • F. None of above.

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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f51b3d48190b542a0423d3938e0 completed March 31, 2026, 11:57 p.m.
PD Predicate disambiguation batch_69cc5c1aff3881908be6a9cbc9f50461 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:42 p.m.