Triple

T26495104
Position Surface form Disambiguated ID Type / Status
Subject Jete pari kintu keno jabo E669259 entity
Predicate readerResponse P95128 FINISHED
Object often interpreted as expressing generational disillusionment 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: often interpreted as expressing generational disillusionment | Statement: [Jete pari kintu keno jabo, readerResponse, often interpreted as expressing generational disillusionment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: readerResponse
Context triple: [Jete pari kintu keno jabo, readerResponse, often interpreted as expressing generational disillusionment]
  • A. readerReception chosen
    Indicates how readers interpret, respond to, or are affected by a particular text or work.
  • B. readingContext
    Indicates the situational or surrounding information (such as location, time, or medium) within which a reading activity or act of reading takes place.
  • C. readingFeature
    Indicates that an entity possesses a characteristic, capability, or attribute specifically related to reading.
  • D. reading
    Indicates that an entity is engaged in the activity of interpreting and understanding written or printed material from another entity or source.
  • E. readBy
    Indicates that a particular text, document, or content item has been read or consumed by a specific person or agent.
  • 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_69eeb319007081909642b414b114b35a completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f61355c8548190b0be40734a252bb7 completed May 2, 2026, 3:08 p.m.
PD Predicate disambiguation batch_69f602d5c8808190a1fdbebd6f0981e8 completed May 2, 2026, 1:57 p.m.
Created at: April 27, 2026, 1:07 a.m.