Triple

T6033409
Position Surface form Disambiguated ID Type / Status
Subject Mayer Brown E134360 entity
Predicate practiceArea P2167 FINISHED
Object M&A E482361 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: M&A | Statement: [Mayer Brown, practiceArea, M&A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M&A
Context triple: [Mayer Brown, practiceArea, M&A]
  • A. M&A chosen
    M&A (mergers and acquisitions) is a core area of corporate law focused on advising companies on buying, selling, and combining businesses and assets.
  • B. Merger Working Group
    The Merger Working Group is a specialized body within the International Competition Network that focuses on best practices, procedures, and policy convergence in merger control and review among competition authorities worldwide.
  • C. Merger Agreement
    The Merger Agreement was the post-independence legal instrument through which numerous princely states in India formally unified and integrated into larger administrative units or the Indian Union.
  • D. Companies & Markets
    Companies & Markets is a key Financial Times section providing in-depth news, analysis, and data on global businesses, industries, and financial markets.
  • E. Cinven
    Cinven is a leading European private equity firm known for acquiring and developing large companies across various sectors.
  • 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_69c0087515148190a97475d412563865 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056b220608190b156be95632cf3b3 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113855ad08190b9ff826a2f39c356 completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:08 p.m.