Triple

T11448147
Position Surface form Disambiguated ID Type / Status
Subject Dibiasky comet E271316 entity
Predicate hasFictionalImpactConsequence P812 FINISHED
Object global extinction event 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: global extinction event | Statement: [Dibiasky comet, hasFictionalImpactConsequence, global extinction event]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFictionalImpactConsequence
Context triple: [Dibiasky comet, hasFictionalImpactConsequence, global extinction event]
  • A. associatedWithFictionalEvent
    Indicates that an entity has a connection or involvement with a fictional event, such as being based on, inspired by, or participating in that imagined occurrence.
  • B. hasFictionalEventType
    Indicates that something is associated with, characterized by, or classified under a particular type or category of fictional event.
  • C. hasFictionalContent
    Indicates that something contains or includes material that is imaginary, invented, or not intended to represent real events or facts.
  • D. hasConsequence chosen
    Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
  • E. hasFictionalFunction
    Indicates that an entity serves a role, purpose, or function within a fictional context or narrative.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c6d4890819082fb4a670feb2629 completed April 9, 2026, 9:38 p.m.
PD Predicate disambiguation batch_69d7e7162b288190a0bfb89f7eb747c7 completed April 9, 2026, 5:51 p.m.
Created at: April 8, 2026, 9:35 p.m.