Triple

T10214290
Position Surface form Disambiguated ID Type / Status
Subject Core Image E242402 entity
Predicate primaryClass P81223 FINISHED
Object CIKernel E242402 NE 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: CIKernel | Statement: [Core Image, primaryClass, CIKernel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CIKernel
Context triple: [Core Image, primaryClass, CIKernel]
  • A. KERNAL
    KERNAL is the low-level operating system and I/O firmware of Commodore 8-bit computers, providing core routines for hardware access and system services.
  • B. Core Image chosen
    Core Image is an Apple framework for high-performance image processing and analysis, offering GPU-accelerated filters and effects for macOS, iOS, and related platforms.
  • C. Kernel
    Kernel is a neurotechnology company developing advanced brain–computer interface systems to measure and interpret brain activity for research and clinical applications.
  • D. KICT
    KICT is the ICAO airport code for Wichita Dwight D. Eisenhower National Airport in Wichita, Kansas, United States.
  • E. K-Ci
    K-Ci is an American R&B singer best known as a lead vocalist of the group Jodeci and one half of the duo K-Ci & JoJo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa273bdc8190bc4cf67a7923cebc completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d652ea80dc81908bc65ee2ec390467 completed April 8, 2026, 1:06 p.m.
Created at: April 6, 2026, 11:04 a.m.