Triple

T22114874
Position Surface form Disambiguated ID Type / Status
Subject Altri canti d’Amor E546511 entity
Predicate usesTextExpression P147036 FINISHED
Object heightened word painting 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: heightened word painting | Statement: [Altri canti d’Amor, usesTextExpression, heightened word painting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesTextExpression
Context triple: [Altri canti d’Amor, usesTextExpression, heightened word painting]
  • A. hasExpression
    Indicates that an entity displays or possesses a particular facial or emotional expression.
  • B. usesExpressionSystem
    Indicates that one entity employs or relies on a particular expression system (e.g., a biological, genetic, or computational framework) to produce, express, or manipulate another entity.
  • C. usedInExpression
    Indicates that one entity (typically a term, symbol, or construct) is employed as a component within another entity that represents an expression.
  • D. textualCondition
    Indicates that one entity imposes, specifies, or is subject to a condition expressed in text that must be satisfied or considered.
  • E. usesTextBy
    Indicates that one entity makes use of or relies on a text authored or provided by 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1294c5f908190bdb1cce3cbf86d85 completed April 28, 2026, 9:40 p.m.
PD Predicate disambiguation batch_69e71b2ed7348190b6fa2e52f54393fb completed April 21, 2026, 6:37 a.m.
PDg Predicate description generation batch_69e7222d208c819098b12c13e31af629 completed April 21, 2026, 7:07 a.m.
Created at: April 16, 2026, 8:31 p.m.