Triple

T15193413
Position Surface form Disambiguated ID Type / Status
Subject Money Is King E363081 entity
Predicate socialCritique P3619 FINISHED
Object critiques how money shapes respect and treatment 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: critiques how money shapes respect and treatment | Statement: [Money Is King, socialCritique, critiques how money shapes respect and treatment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: socialCritique
Context triple: [Money Is King, socialCritique, critiques how money shapes respect and treatment]
  • A. aimsToCritique
    Indicates an intention to analyze and point out faults, limitations, or weaknesses in something.
  • B. criticizesSource
    Indicates that one entity expresses disapproval of, or negative judgment about, the content, behavior, or credibility of another entity that is treated as a source.
  • C. criticismReason
    Indicates that one entity criticizes another entity specifically because of the stated reason.
  • D. hasCriticism chosen
    Indicates that one entity expresses disapproval, objection, or negative evaluation directed toward another entity.
  • E. usedToCritique
    Indicates that something is employed as a means to analyze, evaluate, or express disapproval of something else.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067eb710819085211fd05d5fa5f0 completed April 15, 2026, 9:43 p.m.
PD Predicate disambiguation batch_69deb97bd8bc8190b2ad4888f97cf963 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:10 a.m.