Triple

T29989435
Position Surface form Disambiguated ID Type / Status
Subject Apollo Sauroktonos E761829 entity
Predicate stylisticCharacteristics P137145 FINISHED
Object soft modeling of the body 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: soft modeling of the body | Statement: [Apollo Sauroktonos, stylisticCharacteristics, soft modeling of the body]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stylisticCharacteristics
Context triple: [Apollo Sauroktonos, stylisticCharacteristics, soft modeling of the body]
  • A. stylisticFocus
    Indicates a relationship where something is primarily concerned with, emphasizes, or is characterized by a particular style or set of stylistic features.
  • B. stylisticElement chosen
    Indicates a relationship where one entity functions as a stylistic feature, device, or characteristic that shapes the expressive or aesthetic quality of another entity.
  • C. stylisticSignificance
    Indicates that one entity holds importance or meaning specifically because of its style or manner of expression in relation to another entity or context.
  • D. stylisticEffect
    Indicates the relationship where one element produces, contributes to, or embodies a particular stylistic impact or impression on another.
  • E. stylisticRange
    Indicates the range or spectrum of styles that characterize or can be applied to something.
  • F. None of above.

Provenance (3 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_69f224695498819094a81037cad401e2 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6791985c08190815809bcc3258be8 completed May 2, 2026, 10:22 p.m.
PD Predicate disambiguation batch_69f673c4abec8190bc2379e66f4af0a9 completed May 2, 2026, 9:59 p.m.
Created at: April 29, 2026, 6:37 p.m.