Triple

T14398034
Position Surface form Disambiguated ID Type / Status
Subject Multiplicity E357000 entity
Predicate hasCloneConcept P531 FINISHED
Object human cloning used for comedic effect 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: human cloning used for comedic effect | Statement: [Multiplicity, hasCloneConcept, human cloning used for comedic effect]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCloneConcept
Context triple: [Multiplicity, hasCloneConcept, human cloning used for comedic effect]
  • A. hasCopyOrClone
    Indicates that one entity exists as a copy or clone of another, preserving the original’s content or structure.
  • B. hasConceptualParallel
    Indicates that one entity corresponds to or mirrors another at a conceptual level, showing a similar idea, structure, or pattern despite possible differences in form or context.
  • C. hasConcept chosen
    Indicates that an entity includes, embodies, or is associated with a particular concept.
  • D. hasConceptualOrigin
    Indicates that something conceptually originates from, is derived from, or is fundamentally based on another thing.
  • E. hasSubConcept
    Indicates that one concept is a more specific, subordinate, or narrower idea within the scope of another, more general concept.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9083f9d081908fe5c99655c410b3 completed April 14, 2026, 7:07 p.m.
PD Predicate disambiguation batch_69de2aa024c48190805df6a9d63deb10 completed April 14, 2026, 11:53 a.m.
Created at: April 10, 2026, 1:17 a.m.