Triple

T8415929
Position Surface form Disambiguated ID Type / Status
Subject Omnicom Group E198729 entity
Predicate hasSubsidiary P254 FINISHED
Object BBDO Worldwide E536109 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: BBDO Worldwide | Statement: [Omnicom Group, hasSubsidiary, BBDO Worldwide]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBDO Worldwide
Context triple: [Omnicom Group, hasSubsidiary, BBDO Worldwide]
  • A. BBDO chosen
    BBDO is a major global advertising agency network known for creating high-profile, award-winning campaigns for leading brands.
  • B. DDB Worldwide
    DDB Worldwide is a major global advertising agency network known for its creative marketing campaigns and brand-building work across multiple industries.
  • C. Ogilvy & Mather
    Ogilvy & Mather is a major global advertising agency known for its influential marketing campaigns and brand-building work for leading companies worldwide.
  • D. BBH (Bartle Bogle Hegarty)
    BBH (Bartle Bogle Hegarty) is a renowned global advertising agency known for its creative, award-winning campaigns for major international brands.
  • E. McCann Erickson
    McCann Erickson is a global advertising agency network known for creating major international marketing campaigns for leading brands.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb84c5121081908efa3eca25406d3a completed March 31, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf27e1bda481909062b9259a168eb0 completed April 3, 2026, 2:37 a.m.
Created at: March 30, 2026, 6:06 p.m.