Triple

T26342828
Position Surface form Disambiguated ID Type / Status
Subject Wizard's rule of Oz E662695 entity
Predicate hasFictionalTimeBefore P160842 FINISHED
Object reign of Princess Ozma 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: reign of Princess Ozma | Statement: [Wizard's rule of Oz, hasFictionalTimeBefore, reign of Princess Ozma]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFictionalTimeBefore
Context triple: [Wizard's rule of Oz, hasFictionalTimeBefore, reign of Princess Ozma]
  • A. fictionalTime
    Indicates that the associated time or temporal reference exists only within a fictional or imagined context, rather than in real-world chronology.
  • B. precedesInUniverse chosen
    Indicates that one event or entity occurs earlier than another within the timeline or causal order of a given fictional or conceptual universe.
  • C. hasAlternateTimeline
    Indicates that an entity exists or occurs in a different possible or parallel timeline relative to another reference timeline.
  • D. usesTimeTravelFor
    Indicates a relationship where an entity employs time travel as a means or method to achieve, affect, or interact with another entity or objective.
  • E. hasTemporalParadox
    Indicates that a situation, event, or sequence of events involves a contradiction or inconsistency in time, such as conflicting timelines or causality loops.
  • 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_69ee81304194819092e20e0fae3aee07 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f727afd5d88190ad48735cd1b32787 completed May 3, 2026, 10:47 a.m.
PD Predicate disambiguation batch_69f72737c42c8190a3f781a5e98868ff completed May 3, 2026, 10:45 a.m.
Created at: April 26, 2026, 10:40 p.m.