Triple

T25508117
Position Surface form Disambiguated ID Type / Status
Subject Acrasia E639298 entity
Predicate methodOfEnchantment P159766 FINISHED
Object sensual delights 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: sensual delights | Statement: [Acrasia, methodOfEnchantment, sensual delights]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: methodOfEnchantment
Context triple: [Acrasia, methodOfEnchantment, sensual delights]
  • A. enchantedBy
    Indicates that one entity has cast or holds a magical enchantment over another entity.
  • B. enchantment
    Indicates that one entity has placed a magical or supernatural influence on another, altering its state, behavior, or properties.
  • C. canBeEnchantedWith
    Indicates that an entity is capable of receiving or being affected by a specified enchantment.
  • D. enchantedAs
    Indicates that one entity has been placed under a magical spell or charm by another entity or force.
  • E. enchantedTo
    Indicates that one entity has been magically imbued or altered so that it possesses a special effect, property, or behavior caused 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_69e75dbd09308190b6b5f0afdc12ec6d completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f80749f88190a5c2a70e7370003b completed May 2, 2026, 1:11 p.m.
PD Predicate disambiguation batch_69f5afd5baac8190bb8ed576813c8591 completed May 2, 2026, 8:03 a.m.
PDg Predicate description generation batch_69f5f6b32a8881909baa0db57b80d56a completed May 2, 2026, 1:05 p.m.
Created at: April 21, 2026, 2:47 p.m.