Triple

T37229446
Position Surface form Disambiguated ID Type / Status
Subject Spacely Space Sprockets E923090 entity
Predicate hasWorkplaceRoleFor P13957 FINISHED
Object George Jetson as digital index operator 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: George Jetson as digital index operator | Statement: [Spacely Space Sprockets, hasWorkplaceRoleFor, George Jetson as digital index operator]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWorkplaceRoleFor
Context triple: [Spacely Space Sprockets, hasWorkplaceRoleFor, George Jetson as digital index operator]
  • A. inUniverseWorkplaceRole
    Indicates that an entity holds a specific workplace role or job position within a fictional or narrative universe.
  • B. hasWorksIn
    Indicates that one entity is employed by or performs their professional activities within the organization, location, or context represented by another entity.
  • C. hasOrganizationalRole chosen
    Indicates that an entity holds a specific role, position, or function within an organization.
  • D. hasMainOrganizationRole
    Indicates that an entity holds the primary or most significant organizational role within a given context or structure.
  • E. employedRole
    Indicates that an entity holds or performs a specific role or position within an employment or work 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_69f76ea7f0008190b31b8e30f3d05a71 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fed6da0390819096b88ef4714b144e completed May 9, 2026, 6:40 a.m.
PD Predicate disambiguation batch_69fed53517d081909966f31707625f1a completed May 9, 2026, 6:33 a.m.
Created at: May 3, 2026, 4:15 p.m.