Triple

T11203316
Position Surface form Disambiguated ID Type / Status
Subject Empire Award for Best Newcomer E265094 entity
Predicate organizer P123 FINISHED
Object Bauer Consumer Media E756428 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: Bauer Consumer Media | Statement: [Empire Award for Best Newcomer, organizer, Bauer Consumer Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bauer Consumer Media
Context triple: [Empire Award for Best Newcomer, organizer, Bauer Consumer Media]
  • A. Bauer
    Bauer is a leading ice hockey equipment manufacturer best known for its skates, sticks, and protective gear used by professional and amateur players worldwide.
  • B. Bauer
    Bauer is a German occupational surname historically given to farmers or peasants and now borne by many people worldwide.
  • C. Bauer Media Group chosen
    Bauer Media Group is a major European media conglomerate known for its extensive portfolio of magazines, radio stations, and digital platforms.
  • D. Bauer Brothers
    Bauer Brothers is a business enterprise that employs Allen Bauer, likely a family-owned company associated with the Bauer family.
  • E. Bomis
    Bomis was an early web portal and search engine company co-founded by Jimmy Wales that later played a key role in funding and incubating Wikipedia.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d355c481908fc3d555b596314d completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4972bfbd481908cd0da59389ae17c completed April 19, 2026, 8:49 a.m.
Created at: April 8, 2026, 9:29 p.m.