Triple

T20054029
Position Surface form Disambiguated ID Type / Status
Subject Sonnet 144 E499281 entity
Predicate hasCoupletFunction P138525 FINISHED
Object moral reflection 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: moral reflection | Statement: [Sonnet 144, hasCoupletFunction, moral reflection]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCoupletFunction
Context triple: [Sonnet 144, hasCoupletFunction, moral reflection]
  • A. hasCoupling
    Indicates that two entities are linked or joined together in a way that allows them to interact, transfer, or coordinate motion, energy, or information.
  • B. hasCouplingConstant
    Indicates that one entity is associated with a specific coupling constant value that quantifies the strength of an interaction or relationship.
  • C. hasCouplers
    Indicates that one entity is equipped with or possesses couplers that enable it to connect or link to another entity.
  • D. hasConjunction
    Indicates that two or more entities are linked together by a coordinating conjunction, forming a combined or joint relationship.
  • E. hasChainFunction
    Indicates that an entity possesses or is associated with a specific function or role within a chain or sequence of operations.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66331c7488190840d43792ff09977 completed April 20, 2026, 5:32 p.m.
PD Predicate disambiguation batch_69e54cee7a5c819084ae4ff26419833f completed April 19, 2026, 9:45 p.m.
PDg Predicate description generation batch_69e54fc20888819083c9118a09d0d2dc completed April 19, 2026, 9:57 p.m.
Created at: April 11, 2026, 3:38 p.m.