Triple

T900832
Position Surface form Disambiguated ID Type / Status
Subject Arthur C. Clarke E19440 entity
Predicate hasAphorism P492 FINISHED
Object Any sufficiently advanced technology is indistinguishable from magic. 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: Any sufficiently advanced technology is indistinguishable from magic. | Statement: [Arthur C. Clarke, hasAphorism, Any sufficiently advanced technology is indistinguishable from magic.]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAphorism
Context triple: [Arthur C. Clarke, hasAphorism, Any sufficiently advanced technology is indistinguishable from magic.]
  • A. notableQuote chosen
    Indicates that one entity is a significant or well-known quotation attributed to, recorded by, or strongly associated with another entity.
  • B. hasWrittenAbout
    Indicates that one entity has authored content or material discussing, analyzing, or referencing another entity.
  • C. notablePhilosopher
    Indicates that the subject is recognized as a philosopher of particular significance or influence.
  • D. genreOfQuotes
    Indicates that one entity is the literary, thematic, or stylistic genre to which the other entity’s quotes belong.
  • E. sentenceOf
    Indicates that one entity is a sentence that belongs to, is contained in, or is part of another larger text or document.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad42ecac81909f8bc554d2fe0363 completed March 1, 2026, 9:18 p.m.
PD Predicate disambiguation batch_69a4aa979d408190b17ccfde132ea628 completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:39 p.m.