Triple

T15624600
Position Surface form Disambiguated ID Type / Status
Subject Didyme E375647 entity
Predicate powerDescription P119482 FINISHED
Object ability to make people feel happy and content 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: ability to make people feel happy and content | Statement: [Didyme, powerDescription, ability to make people feel happy and content]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: powerDescription
Context triple: [Didyme, powerDescription, ability to make people feel happy and content]
  • A. powersFeature
    Indicates that one entity provides the underlying functionality or capability that enables a particular feature of another entity.
  • B. powersType
    Indicates that one entity has a specific type or category of power or ability in relation to another entity.
  • C. powerBy
    Indicates that one entity operates, functions, or is made possible through the energy, resources, or enabling capabilities provided by another entity.
  • D. powerInterface
    Indicates that one entity serves as a power-providing interface or connection point for another entity, enabling the transfer or supply of electrical power.
  • E. powerDependsOn
    Indicates that the power or effectiveness of one entity is contingent upon, or influenced 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9cfd94819091459aa17a002eaf completed April 16, 2026, 2:51 a.m.
PD Predicate disambiguation batch_69deda868d4481908f4bce1c64d2902a completed April 15, 2026, 12:23 a.m.
PDg Predicate description generation batch_69dff7f3016c8190ac68d76e65e07af4 completed April 15, 2026, 8:41 p.m.
Created at: April 10, 2026, 4:14 a.m.