Triple

T18335717
Position Surface form Disambiguated ID Type / Status
Subject Wellness Olympia E439264 entity
Predicate emphasisComparedToBikini P131413 FINISHED
Object greater lower-body muscularity 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: greater lower-body muscularity | Statement: [Wellness Olympia, emphasisComparedToBikini, greater lower-body muscularity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emphasisComparedToBikini
Context triple: [Wellness Olympia, emphasisComparedToBikini, greater lower-body muscularity]
  • A. fantasyBraValue
    Indicates a relationship where a specific bra size or measurement is assigned to or associated with an entity in a fantasy or non-realistic context.
  • B. bodyCoverage
    Indicates the extent or proportion of an entity’s body that is covered by another substance, material, or feature.
  • C. isBackless
    Indicates that an item, typically a seat or garment, lacks a back portion or support.
  • D. bodyCovering
    Indicates the type of external covering or surface (such as skin, fur, feathers, or scales) that characterizes an entity’s body.
  • E. fashionCharacteristic
    Indicates a relationship where one entity possesses or exhibits a particular style, trend, or fashion-related attribute in relation to another.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ecd759481909703ed2d0d68199f completed April 19, 2026, 5:20 p.m.
PD Predicate disambiguation batch_69e44fe91bc08190906518e1b120fcf0 completed April 19, 2026, 3:45 a.m.
PDg Predicate description generation batch_69e4561d665081908ec555344e76d82b completed April 19, 2026, 4:12 a.m.
Created at: April 10, 2026, 10:37 a.m.