Triple

T3579837
Position Surface form Disambiguated ID Type / Status
Subject Willis Re E75773 entity
Predicate parentCompany P254 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: [Willis Re, parentCompany, Willis Towers Watson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willis Towers Watson
Context triple: [Willis Re, parentCompany, 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0ffecdc8190bf01c8ba90e3733e completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402f36b2481909d4716e72a696e0d completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:21 p.m.