Triple

T9340631
Position Surface form Disambiguated ID Type / Status
Subject Dr. Manhattan E224754 entity
Predicate inUniverseImpact P86579 FINISHED
Object shifts global balance of power toward United States 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: shifts global balance of power toward United States | Statement: [Dr. Manhattan, inUniverseImpact, shifts global balance of power toward United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: inUniverseImpact
Context triple: [Dr. Manhattan, inUniverseImpact, shifts global balance of power toward United States]
  • A. inUniverseConsequence chosen
    Indicates that one event, action, or state leads to a resulting effect or outcome within the same fictional or defined universe.
  • B. inUniverse
    Indicates that one entity exists, occurs, or is set within the fictional or conceptual universe defined by another entity.
  • C. inUniverseType
    Indicates that one entity exists within, or is categorized as belonging to, a particular fictional or conceptual universe type defined by the other entity.
  • D. inUniverseEvent
    Indicates that an event occurs within, and is governed by the context or rules of, a particular fictional or defined universe.
  • E. inUniverseAge
    Indicates the age of an entity as measured within the timeline or continuity of a specific fictional or defined universe.
  • 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_69ca84286fcc81909f6e7fd7a7e862a2 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4bae2e2481909effc2dc89a642c5 completed April 1, 2026, 4:45 p.m.
PD Predicate disambiguation batch_69cc7a66aef08190b8d668cff5b04f5f completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:40 p.m.