Triple

T7899064
Position Surface form Disambiguated ID Type / Status
Subject Hal Finney E183402 entity
Predicate hasBodyPreservation P21580 FINISHED
Object cryonic suspension 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: cryonic suspension | Statement: [Hal Finney, hasBodyPreservation, cryonic suspension]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBodyPreservation
Context triple: [Hal Finney, hasBodyPreservation, cryonic suspension]
  • A. hasSubjectOfPreservation
    Indicates that something is the specific focus or object being preserved or conserved within a preservation relationship.
  • B. preservationMethod chosen
    Indicates the technique or process used to maintain, protect, or prolong the condition, quality, or usability of something over time.
  • C. preservationType
    Indicates the method or process by which something is preserved or kept from deterioration.
  • D. hasPreservationConditions
    Indicates the specific environmental or handling conditions required to properly preserve or maintain an entity.
  • E. aimsToPreserve
    Indicates an intention or effort by one entity to maintain, protect, or keep another entity in its current or desired state.
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a2ae5048190a6824d34b582c366 completed March 31, 2026, 3:06 a.m.
PD Predicate disambiguation batch_69cae92d94448190b4425bbfb64c658c completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:01 p.m.