Triple

T17412730
Position Surface form Disambiguated ID Type / Status
Subject Samuel Smiles E423408 entity
Predicate laterView P34997 FINISHED
Object emphasized individual self-improvement over political reform 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: emphasized individual self-improvement over political reform | Statement: [Samuel Smiles, laterView, emphasized individual self-improvement over political reform]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterView
Context triple: [Samuel Smiles, laterView, emphasized individual self-improvement over political reform]
  • A. viewOnHereafter
    Indicates a subject’s beliefs, opinions, or perspective regarding the afterlife or what happens after death.
  • B. viewOnFuture chosen
    Indicates a subject’s attitude, expectation, or perspective regarding future events or outcomes.
  • C. laterSought
    Indicates that one entity attempted to obtain, pursue, or request another entity at a subsequent time relative to some prior reference point.
  • D. laterFeature
    Indicates that one feature, event, or element occurs or is introduced after another in time.
  • E. laterPerception
    Indicates that one entity’s perception, awareness, or observation of something occurs after another specified time, event, or perception.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b0c12b881908b2ddc13678c7a75 completed April 19, 2026, 2:16 a.m.
PD Predicate disambiguation batch_69e3b02e6cc88190986e85e64ce9383e completed April 18, 2026, 4:24 p.m.
Created at: April 10, 2026, 5:46 a.m.