Triple

T28690237
Position Surface form Disambiguated ID Type / Status
Subject Survivor: One World E729256 entity
Predicate twist P90009 FINISHED
Object men and women initially divided by gender but living on the same beach 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: men and women initially divided by gender but living on the same beach | Statement: [Survivor: One World, twist, men and women initially divided by gender but living on the same beach]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: twist
Context triple: [Survivor: One World, twist, men and women initially divided by gender but living on the same beach]
  • A. twistType
    Indicates the specific manner or category of twisting applied in a relationship or action between entities.
  • B. hasTwist chosen
    Indicates that an entity (such as a story, object, or feature) includes an unexpected change, reversal, or surprising element relative to what was previously established or anticipated.
  • C. twistElement
    Indicates that one entity applies a twisting or rotational deformation to another entity.
  • D. twistCount
    Indicates the number of twists or rotational turns applied or present in the relationship between the related entities.
  • E. twistOffAngle
    Indicates the angular amount or orientation by which something is twisted off from its original or reference position.
  • 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_69f043e60b6c8190ac2cd042e77fe6e9 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f65684223c8190867c123acf504527 completed May 2, 2026, 7:54 p.m.
PD Predicate disambiguation batch_69f651ac855481908e30c3b345d31356 completed May 2, 2026, 7:34 p.m.
Created at: April 28, 2026, 5:35 a.m.