Triple

T3626609
Position Surface form Disambiguated ID Type / Status
Subject Esther Dyson E76853 entity
Predicate boardMemberOf P10 FINISHED
Object WPP E270569 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: WPP | Statement: [Esther Dyson, boardMemberOf, WPP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WPP
Context triple: [Esther Dyson, boardMemberOf, WPP]
  • A. WPP plc chosen
    WPP plc is a British multinational advertising and public relations conglomerate and one of the world’s largest communications groups.
  • B. Publicis Groupe
    Publicis Groupe is a major French multinational advertising and communications company and one of the world’s largest marketing services groups.
  • C. Omnicom Group
    Omnicom Group is a global marketing and communications holding company that owns numerous leading advertising, media, and public relations agencies worldwide.
  • D. Ogilvy & Mather
    Ogilvy & Mather is a major global advertising agency known for its influential marketing campaigns and brand-building work for leading companies worldwide.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2dc011c8190a6596f4b483fb078 completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4332488d88190ac70846388b7ff13 completed March 13, 2026, 3:54 p.m.
Created at: March 8, 2026, 3:23 p.m.