Triple

T2480016
Position Surface form Disambiguated ID Type / Status
Subject Marsh & McLennan E55791 entity
Predicate tradedAs P2822 FINISHED
Object NYSE:MMC
NYSE:MMC is the stock ticker symbol for Marsh & McLennan Companies, a global professional services firm specializing in risk, strategy, and insurance solutions.
 E270234 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: NYSE:MMC | Statement: [Marsh & McLennan, tradedAs, NYSE:MMC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NYSE:MMC
Context triple: [Marsh & McLennan, tradedAs, NYSE:MMC]
  • A. MCC
    MCC is the abbreviated name of Belgium’s naval branch within the Belgian Armed Forces.
  • B. MCC
    MCC is a U.S. foreign aid agency that provides time-limited grants to promote economic growth, reduce poverty, and strengthen institutions in developing countries.
  • C. NASDAQ:CMCSA
    NASDAQ:CMCSA is the stock ticker symbol for Comcast Corporation, a major American telecommunications and media conglomerate.
  • D. NYSE Arca
    NYSE Arca is an electronic securities exchange in the United States known for trading exchange-traded funds (ETFs) and equities.
  • E. AMCC
    AMCC (Applied Micro Circuits Corporation) is a semiconductor company known for designing and manufacturing Power Architecture-based processors and related networking and embedded computing solutions.
  • 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: NYSE:MMC
Triple: [Marsh & McLennan, tradedAs, NYSE:MMC]
Generated description
NYSE:MMC is the stock ticker symbol for Marsh & McLennan Companies, a global professional services firm specializing in risk, strategy, and insurance solutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NYSE:MMC
Target entity description: NYSE:MMC is the stock ticker symbol for Marsh & McLennan Companies, a global professional services firm specializing in risk, strategy, and insurance solutions.
  • A. MCC
    MCC is the abbreviated name of Belgium’s naval branch within the Belgian Armed Forces.
  • B. MCC
    MCC is a U.S. foreign aid agency that provides time-limited grants to promote economic growth, reduce poverty, and strengthen institutions in developing countries.
  • C. NASDAQ:CMCSA
    NASDAQ:CMCSA is the stock ticker symbol for Comcast Corporation, a major American telecommunications and media conglomerate.
  • D. NYSE Arca
    NYSE Arca is an electronic securities exchange in the United States known for trading exchange-traded funds (ETFs) and equities.
  • E. AMCC
    AMCC (Applied Micro Circuits Corporation) is a semiconductor company known for designing and manufacturing Power Architecture-based processors and related networking and embedded computing solutions.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd160a9708190b28d2f5538ea129a completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17b146d881909672e9cd4a501a11 completed March 9, 2026, 6:55 p.m.
NEDg Description generation batch_69af19fa53708190835e51d4bf965c62 completed March 9, 2026, 7:05 p.m.
NED2 Entity disambiguation (via description) batch_69af1a60ce6c81908cc88fc7c94a3ea9 completed March 9, 2026, 7:07 p.m.
Created at: March 6, 2026, 9:45 p.m.