Triple

T7665394
Position Surface form Disambiguated ID Type / Status
Subject Decorator E173611 entity
Predicate intent P79 FINISHED
Object Attach additional responsibilities to an object dynamically 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: Attach additional responsibilities to an object dynamically | Statement: [Decorator, intent, Attach additional responsibilities to an object dynamically]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: intent
Context triple: [Decorator, intent, Attach additional responsibilities to an object dynamically]
  • A. purpose chosen
    Indicates that one entity exists, is done, or is used in order to achieve, support, or serve the goal, function, or intended outcome of another entity.
  • B. aimOf
    Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
  • C. intendedEmotion
    Indicates the emotion that an action, expression, or communication is meant to evoke in its target, regardless of the actual emotion experienced.
  • D. intendedInterpretation
    Indicates that one entity is meant to be understood or interpreted in a particular way, sense, or meaning relative to another.
  • E. aspect
    Indicates a specific temporal phase or manner in which an action, event, or state unfolds or is viewed (e.g., ongoing, completed, habitual).
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7063dab1881909598b04999b8b690 completed March 27, 2026, 10:35 p.m.
PD Predicate disambiguation batch_69c7015f7430819099d3ea2781b7cee2 completed March 27, 2026, 10:14 p.m.
Created at: March 27, 2026, 4 p.m.