Triple

T20280094
Position Surface form Disambiguated ID Type / Status
Subject Klaatu E503115 entity
Predicate threatensConsequence P1358 FINISHED
Object Earth will be reduced to a burned-out cinder if it threatens other planets 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: Earth will be reduced to a burned-out cinder if it threatens other planets | Statement: [Klaatu, threatensConsequence, Earth will be reduced to a burned-out cinder if it threatens other planets]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: threatensConsequence
Context triple: [Klaatu, threatensConsequence, Earth will be reduced to a burned-out cinder if it threatens other planets]
  • A. threatType
    Indicates the specific category or nature of a threat that one entity poses or represents in relation to another.
  • B. hasConsequence
    Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
  • C. threat chosen
    Indicates a relationship where one entity expresses or poses potential harm, danger, or negative consequences toward another entity.
  • D. threatCategory
    Indicates the classification of a threat according to its type, severity, or nature within a defined risk or security framework.
  • E. threatInStory
    Indicates that one entity poses or represents a danger, menace, or harmful intent toward another entity within the context of a narrative or story.
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6768ddfd0819098b2cc7fed0f4fe2 completed April 20, 2026, 6:55 p.m.
PD Predicate disambiguation batch_69e55b1e5e1c8190ba8a5544b1db9e1d completed April 19, 2026, 10:45 p.m.
Created at: April 16, 2026, 10:36 a.m.