Triple

T2459483
Position Surface form Disambiguated ID Type / Status
Subject Rollerball E54496 entity
Predicate narrativeFunctionOfGame P7328 FINISHED
Object tool of corporate control 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: tool of corporate control | Statement: [Rollerball, narrativeFunctionOfGame, tool of corporate control]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: narrativeFunctionOfGame
Context triple: [Rollerball, narrativeFunctionOfGame, tool of corporate control]
  • A. storyFunction chosen
    Indicates that one entity serves a particular narrative role or function within the story structure of another entity.
  • B. narrativeFrame
    Indicates the overarching narrative context or perspective within which events, actions, or relationships are presented or interpreted.
  • C. narrative
    Indicates that one entity tells, presents, or conveys a story or sequence of events about another entity or situation.
  • D. narrativeType
    Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
  • E. narrativePassage
    Indicates that a segment of text functions as a narrative passage, conveying events, actions, or storytelling rather than exposition, dialogue, or other discourse types.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd49c5aa081909ab4f726a458b77f completed March 7, 2026, 7:32 a.m.
PD Predicate disambiguation batch_69abd0b199488190aa381b36593ae1ac completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:44 p.m.