Triple

T34957385
Position Surface form Disambiguated ID Type / Status
Subject Miral Paris E1008154 entity
Predicate futureTimeline P126935 FINISHED
Object depicted in alternate future in "Endgame" 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: depicted in alternate future in "Endgame" | Statement: [Miral Paris, futureTimeline, depicted in alternate future in "Endgame"]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: futureTimeline
Context triple: [Miral Paris, futureTimeline, depicted in alternate future in "Endgame"]
  • A. futureServes
    Indicates that, at a future time, one entity will perform a service or act in a serving role for another entity.
  • B. futureEvolution
    Indicates a predicted or potential future development or transformation of one entity into another.
  • C. futureComponentOf
    Indicates that one entity is expected or planned to become a component or part of another entity at some point in the future.
  • D. hasFutureTimeline chosen
    Indicates that an entity is associated with a projected or planned sequence of events extending into the future.
  • E. futureSiteOf
    Indicates that a location is planned or designated to become the site of a particular entity or structure in the future.
  • 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_69f76dc69564819099e9e78aed6ff0a6 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78710282c81909146dc0be91e983f completed May 3, 2026, 5:34 p.m.
PD Predicate disambiguation batch_69f784162134819098413482ef52042f completed May 3, 2026, 5:21 p.m.
Created at: May 3, 2026, 4 p.m.