Triple

T9002334
Position Surface form Disambiguated ID Type / Status
Subject EP&S E215065 entity
Predicate ownsBrand P1500 FINISHED
Object Cyber-shot E41410 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: Cyber-shot | Statement: [EP&S, ownsBrand, Cyber-shot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cyber-shot
Context triple: [EP&S, ownsBrand, Cyber-shot]
  • A. Cyber-shot chosen
    Cyber-shot is Sony's line of compact digital still cameras known for their portability, advanced imaging features, and consumer-friendly design.
  • B. Kodak EasyShare digital cameras
    Kodak EasyShare digital cameras are a line of consumer-friendly point-and-shoot cameras known for their simplicity, affordability, and integrated photo-sharing features.
  • C. The Camera
    The Camera is a seminal photography book by Ansel Adams that explores the technical and artistic use of cameras in creating expressive photographs.
  • D. Handycam
    Handycam is Sony’s well-known line of compact consumer camcorders designed for easy handheld video recording.
  • E. Golden Camera 300
    The Golden Camera 300 is a prestigious cinematography award recognizing outstanding achievement in the art and craft of motion picture photography.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6956a6e08190bd3853a7c1c130eb completed April 1, 2026, 12:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb9741dc8190bec985da8913937c completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:05 p.m.