Triple

T3249656
Position Surface form Disambiguated ID Type / Status
Subject The Awakening E68144 entity
Predicate criticalReceptionAtPublication P2378 FINISHED
Object largely negative 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: largely negative | Statement: [The Awakening, criticalReceptionAtPublication, largely negative]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: criticalReceptionAtPublication
Context triple: [The Awakening, criticalReceptionAtPublication, largely negative]
  • A. criticalReception chosen
    Indicates how a work, performance, or product is evaluated and responded to by critics or professional reviewers.
  • B. criticalApproach
    Indicates that an entity employs an analytical, questioning, or evaluative method toward another entity, concept, or work.
  • C. criticalReputation
    Indicates that an entity is regarded by critics with a particular level or type of esteem, evaluation, or standing based on critical assessments.
  • D. hasCriticism
    Indicates that one entity expresses disapproval, objection, or negative evaluation directed toward another entity.
  • E. criticizedFor
    Indicates that one entity expresses disapproval or negative judgment of another entity specifically because of a particular action, quality, or outcome.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf3fc3c8819080ac95974581ca0e completed March 8, 2026, 5:17 p.m.
PD Predicate disambiguation batch_69ada41837e48190933572165be0ca38 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:09 p.m.