Triple

T38599517
Position Surface form Disambiguated ID Type / Status
Subject Ferrando E934169 entity
Predicate notableAriaCharacteristic P201460 FINISHED
Object expresses sincere, idealized love — 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: expresses sincere, idealized love | Statement: [Ferrando, notableAriaCharacteristic, expresses sincere, idealized love]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableAriaCharacteristic
Context triple: [Ferrando, notableAriaCharacteristic, expresses sincere, idealized love]
  • A. notableAria
    Indicates that an aria is particularly famous, distinguished, or significant within its artistic or historical context.
  • B. notableAriaAssociated
    Indicates that a notable aria is associated with, or prominently linked to, a particular entity (such as a person, work, or performance).
  • C. notableSoundCharacteristic
    Indicates a distinctive or noteworthy quality of the sound produced or associated with an entity.
  • D. notableSongCharacteristic
    Indicates that a song is distinguished by a particular notable feature or quality, such as style, structure, or performance trait.
  • E. hasParticularNotableCharacteristic chosen
    Indicates that an entity possesses a specific, noteworthy characteristic or quality that distinguishes it in some relevant context.
  • 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_69f76ecc17688190b389b693a5927501 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037c903be48190a2fafa53d7d50d42 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a2026248190b894436a578d79ac completed May 12, 2026, 7:06 p.m.
Created at: May 3, 2026, 4:32 p.m.