Triple

T3535202
Position Surface form Disambiguated ID Type / Status
Subject Towers Watson E74753 entity
Predicate successor P78 FINISHED
Object Willis 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: Willis Towers Watson | Statement: [Towers Watson, successor, Willis Towers Watson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willis Towers Watson
Context triple: [Towers Watson, successor, Willis 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. Willis Group Holdings
    Willis Group Holdings was a global insurance brokerage and risk management firm best known for acquiring the naming rights to Chicago’s Willis Tower (formerly the Sears Tower).
  • C. Aon Corporation
    Aon Corporation is a global professional services firm specializing in risk management, insurance brokerage, and human capital consulting.
  • D. Marsh & McLennan
    Marsh & McLennan is a global professional services firm specializing in insurance brokerage, risk management, and consulting.
  • E. The Hartford Financial Services Group
    The Hartford Financial Services Group is a major U.S.-based insurance and financial services company headquartered in Hartford, Connecticut, long known as a leading center of the insurance industry.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbcc4c1d081908938efb71938e1a3 completed March 8, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bcf7ffc81909242cf67f5aa7b3d completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:19 p.m.