Triple

T29159989
Position Surface form Disambiguated ID Type / Status
Subject Ganzfeld experiments E739158 entity
Predicate visualReductionMethod P168648 FINISHED
Object translucent halved ping-pong balls over the eyes 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: translucent halved ping-pong balls over the eyes | Statement: [Ganzfeld experiments, visualReductionMethod, translucent halved ping-pong balls over the eyes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: visualReductionMethod
Context triple: [Ganzfeld experiments, visualReductionMethod, translucent halved ping-pong balls over the eyes]
  • A. reduction
    Indicates a relationship where something is decreased in amount, size, intensity, or degree compared to a prior state or reference.
  • B. reducedRepresentationOf
    Indicates that one entity is a simplified, compressed, or lower-detail version of another entity while preserving its essential information or structure.
  • C. reductionTo
    Indicates that one entity is transformed, simplified, or mapped into another entity that is considered an equivalent or simpler form, often preserving essential properties.
  • D. reduces
    Indicates that one entity causes a decrease in the amount, intensity, degree, or impact of another entity.
  • E. reductionFrom
    Indicates that one entity is derived by simplifying, decreasing, or transforming another entity, typically resulting in a smaller, less complex, or less costly version.
  • 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_69f07cb528fc8190a556b73990c347c8 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f67595fa7c8190b6e9f7a8c700dd97 completed May 2, 2026, 10:07 p.m.
PD Predicate disambiguation batch_69f673c4abec8190bc2379e66f4af0a9 completed May 2, 2026, 9:59 p.m.
PDg Predicate description generation batch_69f674df80b08190adb7f7531083bbb1 completed May 2, 2026, 10:04 p.m.
Created at: April 28, 2026, 11:47 a.m.