Triple

T4525991
Position Surface form Disambiguated ID Type / Status
Subject Agence France-Presse E103378 entity
Predicate precededBy P97 FINISHED
Object Havas Agency E295423 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: Havas Agency | Statement: [Agence France-Presse, precededBy, Havas Agency]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havas Agency
Context triple: [Agence France-Presse, precededBy, Havas Agency]
  • A. Ogilvy & Mather
    Ogilvy & Mather is a major global advertising agency known for its influential marketing campaigns and brand-building work for leading companies worldwide.
  • B. McCann Erickson
    McCann Erickson is a global advertising agency network known for creating major international marketing campaigns for leading brands.
  • C. Havas chosen
    Havas is a major global advertising and communications group headquartered in France, known for its extensive network of creative, media, and marketing agencies.
  • D. Wolff Olins
    Wolff Olins is a global brand consultancy known for creating bold and sometimes controversial visual identities for major organizations and events.
  • E. Publicis Groupe
    Publicis Groupe is a major French multinational advertising and communications company and one of the world’s largest marketing services groups.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd577490f48190ac1fb3cbf3d8a41e completed March 20, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda44fcec48190a1430b4e74ec30fb completed March 20, 2026, 7:47 p.m.
Created at: March 20, 2026, 1:03 p.m.