Triple

T15376697
Position Surface form Disambiguated ID Type / Status
Subject Towers Perrin E367685 entity
Predicate successor P78 FINISHED
Object Towers Watson E74753 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: Towers Watson | Statement: [Towers Perrin, successor, Towers Watson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Towers Watson
Context triple: [Towers Perrin, successor, Towers Watson]
  • A. Towers Watson chosen
    Towers Watson was a global professional services firm specializing in risk management, insurance brokerage, and human capital consulting.
  • B. Deloitte
    Deloitte is one of the world’s largest professional services firms, providing audit, consulting, tax, and advisory services to clients globally.
  • C. Bain & Company
    Bain & Company is a global management consulting firm known for advising leading businesses, governments, and organizations on strategy and performance improvement.
  • 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. The Advisory Board Company
    The Advisory Board Company is a research, consulting, and technology firm that provides strategic insights and performance-improvement services primarily to healthcare and higher education organizations.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e5ece1081908d7c1289258b9c1f completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1347c8448190aa1088d66bca2722 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:18 a.m.