Triple

T2480014
Position Surface form Disambiguated ID Type / Status
Subject Marsh & McLennan E55791 entity
Predicate hasSubsidiary P254 FINISHED
Object Mercer
Mercer is a global consulting firm specializing in human resources, health, retirement, and investment solutions.
 E270232 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: Mercer | Statement: [Marsh & McLennan, hasSubsidiary, Mercer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mercer
Context triple: [Marsh & McLennan, hasSubsidiary, Mercer]
  • A. Mercer
    Mercer is a surname of Scottish and English origin borne by various notable individuals, including the American Revolutionary War general Hugh Mercer.
  • B. Aiken
    Aiken is a variant spelling of the surname Aitken, which is of Scottish origin.
  • C. Mauldin
    Mauldin is a city in South Carolina, United States, known as a suburban community within the Greenville metropolitan area.
  • D. Cordele
    Cordele is a small city in south-central Georgia known as the "Watermelon Capital of the World" and as a regional hub along major highway and rail routes.
  • E. Greenwood
    Greenwood is a residential neighborhood within the city of Warwick in the U.S. state of Rhode Island.
  • 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: Mercer
Triple: [Marsh & McLennan, hasSubsidiary, Mercer]
Generated description
Mercer is a global consulting firm specializing in human resources, health, retirement, and investment solutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mercer
Target entity description: Mercer is a global consulting firm specializing in human resources, health, retirement, and investment solutions.
  • A. Mercer
    Mercer is a surname of Scottish and English origin borne by various notable individuals, including the American Revolutionary War general Hugh Mercer.
  • B. Aiken
    Aiken is a variant spelling of the surname Aitken, which is of Scottish origin.
  • C. Mauldin
    Mauldin is a city in South Carolina, United States, known as a suburban community within the Greenville metropolitan area.
  • D. Cordele
    Cordele is a small city in south-central Georgia known as the "Watermelon Capital of the World" and as a regional hub along major highway and rail routes.
  • E. Greenwood
    Greenwood is a residential neighborhood within the city of Warwick in the U.S. state of Rhode Island.
  • 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.