Triple

T8602996
Position Surface form Disambiguated ID Type / Status
Subject TBWA Worldwide E203723 entity
Predicate alternativeName P39 FINISHED
Object TBWA E203723 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: TBWA | Statement: [TBWA Worldwide, alternativeName, TBWA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TBWA
Context triple: [TBWA Worldwide, alternativeName, TBWA]
  • A. TBWA Worldwide chosen
    TBWA Worldwide is a global advertising agency network known for its disruptive creative campaigns for major brands around the world.
  • B. BBDO
    BBDO is a major global advertising agency network known for creating high-profile, award-winning campaigns for leading brands.
  • C. Wunderman
    Wunderman is a global marketing and advertising agency known for its data-driven, digital-first campaigns and customer relationship management services.
  • D. Leo Burnett Worldwide
    Leo Burnett Worldwide is a globally recognized advertising agency network known for its creative brand campaigns and iconic marketing characters.
  • E. Wolff Olins
    Wolff Olins is a global brand consultancy known for creating bold and sometimes controversial visual identities for major organizations and events.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46dc23448190a5eb63455578427e completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8f13f7081908317c1b2d87a51b2 completed April 2, 2026, 5:35 p.m.
Created at: March 30, 2026, 6:24 p.m.