Triple

T9823285
Position Surface form Disambiguated ID Type / Status
Subject Ode on Melancholy E238587 entity
Predicate recommendsResponseToMelancholy P90198 FINISHED
Object embracing transient beauty 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: embracing transient beauty | Statement: [Ode on Melancholy, recommendsResponseToMelancholy, embracing transient beauty]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: recommendsResponseToMelancholy
Context triple: [Ode on Melancholy, recommendsResponseToMelancholy, embracing transient beauty]
  • A. madeRecommendation
    Indicates that one entity has suggested or advised another entity to consider a particular option, action, or choice.
  • B. recommendationProcess
    Indicates the process by which one entity evaluates options and suggests a preferred choice or course of action to another entity.
  • C. recommendation
    Indicates that one entity suggests, endorses, or advises another entity as suitable or beneficial for a particular purpose or context.
  • D. numberOfRecommendations
    Indicates the quantity of recommendations associated with or given to a particular entity or item.
  • E. canRecommend
    Indicates that one entity is able or authorized to suggest or endorse another entity as suitable or preferable.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb316f8948190ada3738787a5cb6a completed April 2, 2026, 12:06 a.m.
PD Predicate disambiguation batch_69cd03e01ea881909a7d93fc3994ace5 completed April 1, 2026, 11:39 a.m.
PDg Predicate description generation batch_69cd06abc9248190a506b64e9c516d03 completed April 1, 2026, 11:51 a.m.
Created at: March 30, 2026, 8:31 p.m.