Triple

T11344135
Position Surface form Disambiguated ID Type / Status
Subject Pete Campbell E268674 entity
Predicate employer P7 FINISHED
Object McCann Erickson E392398 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: McCann Erickson | Statement: [Pete Campbell, employer, McCann Erickson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McCann Erickson
Context triple: [Pete Campbell, employer, McCann Erickson]
  • A. McCann Erickson chosen
    McCann Erickson is a global advertising agency network known for creating major international marketing campaigns for leading brands.
  • B. Weber Shandwick
    Weber Shandwick is a global public relations and communications agency known for its work in corporate, public affairs, and brand communications for major clients worldwide.
  • 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. Young & Rubicam
    Young & Rubicam is a major global advertising agency known for its influential marketing campaigns and long-standing presence in the advertising industry.
  • E. Omnicom Group
    Omnicom Group is a global marketing and communications holding company that owns numerous leading advertising, media, and public relations agencies worldwide.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea1f9574819089760c5b5908f09e completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5436e9d848190a7e585351d24df03 completed April 19, 2026, 9:04 p.m.
Created at: April 8, 2026, 9:33 p.m.