Triple

T30428102
Position Surface form Disambiguated ID Type / Status
Subject Canon EF-M lens mount E774088 entity
Predicate firstCameraBody P203839 FINISHED
Object Canon EOS M
The Canon EOS M is Canon's first mirrorless interchangeable-lens camera, designed for compact size while maintaining DSLR-like image quality and compatibility with EF-M lenses.
 E1915004 NE FINISHED

How this triple was built (3 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: Canon EOS M | Statement: [Canon EF-M lens mount, firstCameraBody, Canon EOS M]
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: Canon EOS M
Triple: [Canon EF-M lens mount, firstCameraBody, Canon EOS M]
Generated description
The Canon EOS M is Canon's first mirrorless interchangeable-lens camera, designed for compact size while maintaining DSLR-like image quality and compatibility with EF-M lenses.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: firstCameraBody
Context triple: [Canon EF-M lens mount, firstCameraBody, Canon EOS M]
  • A. mainCameraSensor
    Indicates that an entity functions as the primary camera sensor for another entity.
  • B. firstConsumerCameraRelease
    Indicates the event or date when a camera model was first released to the consumer market.
  • C. mainCamera3
    Indicates that something functions as or is designated as the third primary camera in a given context or system.
  • D. tipoDeCámara
    Indicates the specific type or category of camera associated with an entity.
  • E. mainCameraAbbreviation
    Indicates that one entity is the standard or primary abbreviated form used to refer to the main camera of another entity.
  • F. None of above. chosen

Provenance (7 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_69f22491ba248190b9a4776ca8e42d02 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_6a021f84715881908e25b6548e7cf62e completed May 11, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2798b7aae48190a93751027a1af148 completed June 9, 2026, 4:38 a.m.
NEDg Description generation batch_6a279a2571348190a4e73550fb88a687 completed June 9, 2026, 4:44 a.m.
NED2 Entity disambiguation (via description) batch_6a279a938f448190b0cb68d9855c274d completed June 9, 2026, 4:46 a.m.
PD Predicate disambiguation batch_6a021739b7288190a4ca94c04074c78a completed May 11, 2026, 5:51 p.m.
PDg Predicate description generation batch_6a021f8366c08190bc790e47b0acc7a9 completed May 11, 2026, 6:27 p.m.
Created at: April 29, 2026, 8:06 p.m.