Triple

T9000647
Position Surface form Disambiguated ID Type / Status
Subject Fujifilm X series E215030 entity
Predicate manufacturer P490 FINISHED
Object Fujifilm E746698 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: Fujifilm | Statement: [Fujifilm X series, manufacturer, Fujifilm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fujifilm
Context triple: [Fujifilm X series, manufacturer, Fujifilm]
  • A. Fujifilm chosen
    Fujifilm is a Japanese multinational company best known for its photographic film, digital imaging products, and diversified technologies in healthcare and printing.
  • B. Nikon Corporation
    Nikon Corporation is a Japanese multinational company renowned for its cameras, imaging products, and precision optical equipment.
  • C. Olympus Corporation
    Olympus Corporation is a Japanese multinational company best known for its optical and imaging products, including cameras, medical endoscopes, and scientific equipment.
  • D. Kodak
    Kodak is an unincorporated community in Sevier County, Tennessee, known as a growing residential and commercial area near the Great Smoky Mountains and the city of Knoxville.
  • E. Canon Inc.
    Canon Inc. is a Japanese multinational corporation renowned for its imaging and optical products, including cameras, camcorders, printers, and related equipment.
  • 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_69cc6954bb1881908d004a26ba7fe360 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.