Triple

T321436
Position Surface form Disambiguated ID Type / Status
Subject Sony E6422 entity
Predicate brand P1500 FINISHED
Object Handycam
Handycam is Sony’s well-known line of compact consumer camcorders designed for easy handheld video recording.
E41893 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: Handycam | Statement: [Sony, brand, Handycam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Handycam
Context triple: [Sony, brand, Handycam]
  • A. Cyber-shot
    Cyber-shot is Sony's line of compact digital still cameras known for their portability, advanced imaging features, and consumer-friendly design.
  • B. Ampex
    Ampex is an American electronics company renowned for pioneering professional audio and video tape recording technology.
  • C. AVS
    AVS is a professional society focused on advancing the science and technology of materials, interfaces, and processing through research, education, and collaboration.
  • D. Bravia
    Bravia is Sony's line of high-definition televisions and display products known for their advanced picture and sound technologies.
  • E. Trinitron
    Trinitron is Sony’s line of high-quality aperture grille cathode-ray tube (CRT) displays, renowned for their sharp image, bright colors, and widespread use in televisions and computer monitors from the late 1960s onward.
  • 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: Handycam
Triple: [Sony, brand, Handycam]
Generated description
Handycam is Sony’s well-known line of compact consumer camcorders designed for easy handheld video recording.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Handycam
Target entity description: Handycam is Sony’s well-known line of compact consumer camcorders designed for easy handheld video recording.
  • A. Cyber-shot
    Cyber-shot is Sony's line of compact digital still cameras known for their portability, advanced imaging features, and consumer-friendly design.
  • B. Ampex
    Ampex is an American electronics company renowned for pioneering professional audio and video tape recording technology.
  • C. AVS
    AVS is a professional society focused on advancing the science and technology of materials, interfaces, and processing through research, education, and collaboration.
  • D. Bravia
    Bravia is Sony's line of high-definition televisions and display products known for their advanced picture and sound technologies.
  • E. Trinitron
    Trinitron is Sony’s line of high-quality aperture grille cathode-ray tube (CRT) displays, renowned for their sharp image, bright colors, and widespread use in televisions and computer monitors from the late 1960s onward.
  • 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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea81a1e88190b3496070eb3d85f5 completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3cfe82d348190892f0aa8c352d04b completed March 1, 2026, 5:34 a.m.
NEDg Description generation batch_69a3d090b9ac819080815afc704285ed completed March 1, 2026, 5:37 a.m.
NED2 Entity disambiguation (via description) batch_69a3d0eb96748190aa8c47736820387c completed March 1, 2026, 5:38 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.