Triple

T11356631
Position Surface form Disambiguated ID Type / Status
Subject Onesimus as formerly useless but now useful E268969 entity
Predicate contrastsState P99426 FINISHED
Object formerly useless 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: formerly useless | Statement: [Onesimus as formerly useless but now useful, contrastsState, formerly useless]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contrastsState
Context triple: [Onesimus as formerly useless but now useful, contrastsState, formerly useless]
  • A. exploresContrastBetween
    Indicates a relationship in which one entity examines, highlights, or analyzes the differences or oppositions between two or more entities, ideas, or situations.
  • B. oftenContrastedWith
    Indicates that one entity is frequently compared to another in a way that highlights their differences or opposing characteristics.
  • C. achievesContrast
    Indicates that one entity creates or enhances a visual or conceptual difference relative to another entity.
  • D. registerContrast
    Indicates that an entity records or establishes a distinction or difference between two or more items or states.
  • E. portraysState
    Indicates that one entity visually or symbolically represents or depicts the condition, status, or situation of another entity.
  • F. None of above. chosen

Provenance (4 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80148e2048190a716b515d78efdd1 completed April 9, 2026, 7:43 p.m.
PD Predicate disambiguation batch_69d7e6f8aeb4819080476f16a69b2ee3 completed April 9, 2026, 5:50 p.m.
PDg Predicate description generation batch_69d801451b1c8190944b17906b354142 completed April 9, 2026, 7:43 p.m.
Created at: April 8, 2026, 9:33 p.m.