Triple

T2324221
Position Surface form Disambiguated ID Type / Status
Subject Aon Corporation E48249 entity
Predicate tickerSymbol P1447 FINISHED
Object AON
AON is a global professional services firm specializing in risk management, insurance and reinsurance brokerage, and human capital consulting.
 E254847 NE FINISHED

How this triple was built (4 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 | Statement: [Aon Corporation, tickerSymbol, AON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AON
Context triple: [Aon Corporation, tickerSymbol, AON]
  • A. AO
    AO is the common abbreviation for Agent Orange, a highly toxic herbicide and defoliant used by the U.S. military during the Vietnam War that caused widespread environmental damage and severe health effects.
  • B. AO
    AO is the two-letter ISO 3166-1 alpha-2 country code representing Angola in international standards and systems.
  • C. AO
    AO is a UK-based online electricals retailer known for selling appliances and consumer electronics through its e-commerce platform and associated services.
  • D. AO
    AO is the commonly used abbreviation for the Administrative Office of the United States Courts, the federal agency that provides administrative support to the U.S. federal judiciary.
  • E. AO
    AO is the vehicle registration code used on license plates for vehicles registered in Italy’s Aosta Valley region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: AON
Triple: [Aon Corporation, tickerSymbol, AON]
Generated description
AON is a global professional services firm specializing in risk management, insurance and reinsurance brokerage, and human capital consulting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AON
Target entity description: AON is a global professional services firm specializing in risk management, insurance and reinsurance brokerage, and human capital consulting.
  • A. AO
    AO is the two-letter ISO 3166-1 alpha-2 country code representing Angola in international standards and systems.
  • B. AO
    AO is the common abbreviation for Agent Orange, a highly toxic herbicide and defoliant used by the U.S. military during the Vietnam War that caused widespread environmental damage and severe health effects.
  • C. AO
    AO is a UK-based online electricals retailer known for selling appliances and consumer electronics through its e-commerce platform and associated services.
  • D. AO
    AO is the commonly used abbreviation for the Administrative Office of the United States Courts, the federal agency that provides administrative support to the U.S. federal judiciary.
  • E. AO
    AO is the vehicle registration code used on license plates for vehicles registered in Italy’s Aosta Valley region.
  • F. None of above. chosen

Provenance (5 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc6488de481909f018700fa1f9fc7 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae896de2c48190ada0814d3a4f8497 completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae89e2efd48190a2f0a4702dcbc081 completed March 9, 2026, 8:50 a.m.
NED2 Entity disambiguation (via description) batch_69ae8a7726dc8190a18f7f1e1609253a completed March 9, 2026, 8:53 a.m.
Created at: March 4, 2026, 7:50 p.m.