Triple

T12526193
Position Surface form Disambiguated ID Type / Status
Subject Notator Logic E299446 entity
Predicate developer P73 FINISHED
Object Emagic E922373 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: Emagic | Statement: [Notator Logic, developer, Emagic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emagic
Context triple: [Notator Logic, developer, Emagic]
  • A. Steinberg
    Steinberg is a small settlement in Norway situated along the Drammenselva river, known for its riverside location and local railway station.
  • B. Steinberg
    Steinberg is a German and Ashkenazi Jewish surname borne by numerous notable individuals across fields such as music, art, business, and politics.
  • C. Steinberg
    Steinberg is a locality within the town of Wadern in the Saarland region of Germany.
  • D. Avid Technology chosen
    Avid Technology is an American company known for developing professional audio and video editing tools widely used in film, television, and music production.
  • E. DAW
    DAW was a United Nations division focused on promoting gender equality and advancing the status and rights of women worldwide.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545d7e6c819080c3a85c18caa1ae completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bc393808190add527030a928517 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.