Triple

T2451713
Position Surface form Disambiguated ID Type / Status
Subject Harry Bright E53719 entity
Predicate contrastWithSetting P7994 FINISHED
Object exuberant Greek-island atmosphere 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: exuberant Greek-island atmosphere | Statement: [Harry Bright, contrastWithSetting, exuberant Greek-island atmosphere]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contrastWithSetting
Context triple: [Harry Bright, contrastWithSetting, exuberant Greek-island atmosphere]
  • A. themeContrast chosen
    Indicates a relationship where two themes are compared or opposed to highlight their differences or tension.
  • B. contrastCapability
    Indicates a relationship where one entity’s capabilities are compared or set in opposition to another’s, highlighting differences in what they can do or achieve.
  • C. traditionalContrastWith
    Indicates a relationship where one tradition, practice, or belief is explicitly set in opposition or difference to another, highlighting their contrasting characteristics.
  • D. oftenContrastedWith
    Indicates that one entity is frequently compared to another in a way that highlights their differences or opposing characteristics.
  • E. exploresContrastBetween
    Indicates a relationship in which one entity examines, highlights, or analyzes the differences or oppositions between two or more entities, ideas, or situations.
  • 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd2bc7b5481908b3664495e99f1a4 completed March 7, 2026, 7:24 a.m.
PD Predicate disambiguation batch_69abd0aed2688190a18fe66b98d80e0b completed March 7, 2026, 7:15 a.m.
Created at: March 6, 2026, 9:43 p.m.