Triple

T10801556
Position Surface form Disambiguated ID Type / Status
Subject Commercial Risk Solutions E254849 entity
Predicate parentCompany P254 FINISHED
Object Aon plc E48249 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: Aon plc | Statement: [Commercial Risk Solutions, parentCompany, Aon plc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aon plc
Context triple: [Commercial Risk Solutions, parentCompany, Aon plc]
  • A. Aon Corporation chosen
    Aon Corporation is 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. AIG
    AIG (American International Group) is a global insurance and financial services corporation known for its extensive property-casualty, life insurance, and retirement products.
  • D. Allianz
    Allianz is a leading global financial services company, best known as one of the world’s largest insurance and asset management providers.
  • E. Swiss Re
    Swiss Re is a leading global reinsurance company headquartered in Zurich, Switzerland, providing risk transfer and insurance solutions 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7336dedec819099bd302c5d213dba completed April 9, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7c0907c8190b092bb6754fe4e52 completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:18 p.m.