Triple

T18956271
Position Surface form Disambiguated ID Type / Status
Subject Frank Wang E463787 entity
Predicate notableWork P4 FINISHED
Object DJI Inspire series NE NERFINISHED

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: DJI Inspire series | Statement: [Frank Wang, notableWork, DJI Inspire series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DJI Inspire series
Context triple: [Frank Wang, notableWork, DJI Inspire series]
  • A. DJI Inspire chosen
    DJI Inspire is a professional-grade series of camera drones known for advanced aerial cinematography capabilities and high-performance flight features.
  • B. DJI Avata
    DJI Avata is a compact first-person-view (FPV) camera drone designed for immersive, agile flight and stabilized aerial video.
  • C. DJI Agras
    DJI Agras is a series of agricultural drones designed for tasks like crop spraying, seeding, and precision farming.
  • D. DJI
    DJI is a leading Chinese technology company best known worldwide for manufacturing consumer and professional drones and aerial imaging systems.
  • E. ^DJI
    ^DJI is the ticker symbol for the Dow Jones Industrial Average, a major U.S. stock market index tracking 30 large, publicly traded blue-chip companies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5cdf2d08190a0aecd3fa5335a75 completed April 20, 2026, 7:29 a.m.
Created at: April 10, 2026, noon