Triple

T10214288
Position Surface form Disambiguated ID Type / Status
Subject Core Image E242402 entity
Predicate primaryClass P81223 FINISHED
Object CIVector
CIVector is an Objective-C class in Apple’s Core Image framework that represents and manipulates multi-component vectors, commonly used for configuring image filters and transformations.
 E849989 NE FINISHED

How this triple was built (4 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: CIVector | Statement: [Core Image, primaryClass, CIVector]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CIVector
Context triple: [Core Image, primaryClass, CIVector]
  • A. Vector
    Vector is a mid-range, sport-oriented trim level of the Saab 9-3 that typically offers enhanced performance and upgraded interior and exterior features compared to base models.
  • B. Vector
    Vector is a villainous character from the Despicable Me franchise, known for his orange tracksuit, bowl haircut, and high-tech gadgets.
  • C. Vector
    Vector is a commercial vehicle brand produced by the Russian automotive manufacturer GAZ Group, known primarily for its buses.
  • D. vec
    vec is the ISO 639-3 code for the Venetian language, a Romance language spoken primarily in the Veneto region of Italy and surrounding areas.
  • E. Vectors
    "Vectors" is a science fiction work by American author Michael Kube-McDowell, known for its exploration of complex futuristic and technological themes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CIVector
Triple: [Core Image, primaryClass, CIVector]
Generated description
CIVector is an Objective-C class in Apple’s Core Image framework that represents and manipulates multi-component vectors, commonly used for configuring image filters and transformations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CIVector
Target entity description: CIVector is an Objective-C class in Apple’s Core Image framework that represents and manipulates multi-component vectors, commonly used for configuring image filters and transformations.
  • A. Vector
    Vector is a mid-range, sport-oriented trim level of the Saab 9-3 that typically offers enhanced performance and upgraded interior and exterior features compared to base models.
  • B. Vector
    Vector is a villainous character from the Despicable Me franchise, known for his orange tracksuit, bowl haircut, and high-tech gadgets.
  • C. Vector
    Vector is a commercial vehicle brand produced by the Russian automotive manufacturer GAZ Group, known primarily for its buses.
  • D. vec
    vec is the ISO 639-3 code for the Venetian language, a Romance language spoken primarily in the Veneto region of Italy and surrounding areas.
  • E. Vectors
    "Vectors" is a science fiction work by American author Michael Kube-McDowell, known for its exploration of complex futuristic and technological themes.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69d657818b008190a24170717cff53b9 completed April 8, 2026, 1:26 p.m.
NED2 Entity disambiguation (via description) batch_69d65835a11c819083d069ab0f644d4c completed April 8, 2026, 1:29 p.m.
Created at: April 6, 2026, 11:04 a.m.