Triple

T9962499
Position Surface form Disambiguated ID Type / Status
Subject At the Mountains of Madness E195600 entity
Predicate hasPlannedAdaptation P20925 FINISHED
Object Guillermo del Toro film project 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: Guillermo del Toro film project | Statement: [At the Mountains of Madness, hasPlannedAdaptation, Guillermo del Toro film project]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPlannedAdaptation
Context triple: [At the Mountains of Madness, hasPlannedAdaptation, Guillermo del Toro film project]
  • A. plannedAdaptation chosen
    Indicates that an adaptation or modification has been intentionally designed or scheduled to occur in response to certain conditions or goals.
  • B. hasClimateAdaptation
    Indicates that an entity possesses measures, features, or strategies designed to adjust to and cope with current or anticipated climate change impacts.
  • C. adaptationStatus
    Indicates the current state or progress of how something has been adapted or adjusted in response to specific conditions, requirements, or contexts.
  • D. hasHumanAdaptation
    Indicates that something has been modified, designed, or adjusted specifically to suit human use, abilities, or needs.
  • E. hasWorkAdaptation
    Indicates that an entity has a modified, adjusted, or alternative form specifically adapted for use in a work or professional context.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6d37f0c8190946b958c399f3250 completed April 2, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69cd1d9ae19c819099fb3635e57c79be completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:47 p.m.