Triple

T7307530
Position Surface form Disambiguated ID Type / Status
Subject Yugavani E168011 entity
Predicate reflectsAuthorStyle P27486 FINISHED
Object rebel poet persona of Kazi Nazrul Islam 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: rebel poet persona of Kazi Nazrul Islam | Statement: [Yugavani, reflectsAuthorStyle, rebel poet persona of Kazi Nazrul Islam]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reflectsAuthorStyle
Context triple: [Yugavani, reflectsAuthorStyle, rebel poet persona of Kazi Nazrul Islam]
  • A. authorStyle chosen
    Indicates the stylistic characteristics or manner of expression associated with a particular author in their works.
  • B. rhetoricalStyle
    Indicates the characteristic manner or technique of expression used in communication, such as tone, structure, and persuasive strategies.
  • C. reflectsInterestOfAuthorIn
    Indicates that something expresses or reveals the author’s interest in a particular subject, entity, or topic.
  • D. hasAuthorialStance
    Indicates that an entity expresses, embodies, or is associated with a particular author’s viewpoint, attitude, or perspective toward its subject matter.
  • E. adaptationStyle
    Indicates how an entity adjusts or modifies its behavior, form, or strategy in response to changing conditions or influences.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebd95bd48190865716e7565f45e6 completed March 27, 2026, 8:43 p.m.
PD Predicate disambiguation batch_69c6e76e67d88190bd3ca6864f45845a completed March 27, 2026, 8:24 p.m.
Created at: March 27, 2026, 3:01 p.m.