Triple

T23389553
Position Surface form Disambiguated ID Type / Status
Subject Jungle Cruise E593973 entity
Predicate rethemeFocus P152070 FINISHED
Object removal of racially insensitive depictions 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: removal of racially insensitive depictions | Statement: [Jungle Cruise, rethemeFocus, removal of racially insensitive depictions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rethemeFocus
Context triple: [Jungle Cruise, rethemeFocus, removal of racially insensitive depictions]
  • A. themeFor
    Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
  • B. rethemeYear
    Indicates the year in which something (such as a product, event, or venue) is given a new theme or is thematically redesigned.
  • C. themeChange
    Indicates that an entity undergoes a change in its theme, style, or subject, typically transitioning from one thematic state or configuration to another.
  • D. importFocus
    Indicates that attention, priority, or emphasis is being brought into or concentrated on a particular entity or aspect.
  • E. transformationTheme
    Indicates a thematic relationship in which one entity centers on or explores the process, experience, or idea of transformation in 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a49a7c14819082aab826715976c5 completed April 29, 2026, 6:26 a.m.
PD Predicate disambiguation batch_69f061dde2e481908308952f9c0d3c2e completed April 28, 2026, 7:29 a.m.
PDg Predicate description generation batch_69f07cbbd7488190ab3c8ae7d0fb68bf completed April 28, 2026, 9:24 a.m.
Created at: April 17, 2026, 5:35 p.m.