Triple

T16634384
Position Surface form Disambiguated ID Type / Status
Subject Sir Michael Stevens E404160 entity
Predicate employer P7 FINISHED
Object KPMG E111733 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: KPMG | Statement: [Sir Michael Stevens, employer, KPMG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KPMG
Context triple: [Sir Michael Stevens, employer, KPMG]
  • A. KPMG chosen
    KPMG is one of the world’s largest professional services firms, providing audit, tax, and advisory services to clients across a wide range of industries.
  • B. PricewaterhouseCoopers
    PricewaterhouseCoopers (PwC) is one of the world’s largest professional services networks, providing audit, tax, and consulting services to clients across a wide range of industries.
  • C. Deloitte
    Deloitte is one of the world’s largest professional services firms, providing audit, consulting, tax, and advisory services to clients globally.
  • D. Ernst & Young
    Ernst & Young is a global professional services firm, known as one of the "Big Four" accounting organizations, providing audit, tax, consulting, and advisory services to clients worldwide.
  • E. Coopers & Lybrand
    Coopers & Lybrand was a major international accounting and professional services firm that became part of PricewaterhouseCoopers (PwC) following its merger with Price Waterhouse.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e8a76c8190bf08e6f6dec63c50 completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dc05bd881909c6b2e0d95622aa1 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.