Triple

T6441714
Position Surface form Disambiguated ID Type / Status
Subject Rokeby Venus E138239 entity
Predicate showsDetail P2371 FINISHED
Object Venus looking at her reflection in a mirror 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: Venus looking at her reflection in a mirror | Statement: [Rokeby Venus, showsDetail, Venus looking at her reflection in a mirror]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: showsDetail
Context triple: [Rokeby Venus, showsDetail, Venus looking at her reflection in a mirror]
  • A. showsThat
    Indicates that one entity demonstrates, proves, or provides evidence for the truth or validity of another.
  • B. showType
    Indicates the category or format in which something is presented or displayed (e.g., type of show, presentation, or display mode).
  • C. shows chosen
    Indicates that one entity presents, displays, or makes another entity visible or known to an audience or observer.
  • D. sisterShow
    Indicates that two shows are related as sister shows, typically sharing common origins, networks, or production ties without one being derived from the other.
  • E. notableShow
    Indicates that a show is especially prominent, distinguished, or significant in some noteworthy way.
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06989dfb88190b25ff8b2c53f3ced completed March 22, 2026, 10:13 p.m.
PD Predicate disambiguation batch_69c060f96980819091bab9335922a457 completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:46 p.m.