Triple

T19287873
Position Surface form Disambiguated ID Type / Status
Subject Magic Circle E482360 entity
Predicate appliesTo P1129 FINISHED
Object Allen & Overy NE NERFINISHED

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: Allen & Overy | Statement: [Magic Circle, appliesTo, Allen & Overy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allen & Overy
Context triple: [Magic Circle, appliesTo, Allen & Overy]
  • A. Allen & Overy chosen
    Allen & Overy is a leading international law firm headquartered in London, renowned for its work in corporate, finance, and commercial law.
  • B. Linklaters
    Linklaters is a leading global law firm headquartered in London, renowned for its work in corporate, finance, and commercial law.
  • C. Clifford Chance
    Clifford Chance is a leading global law firm headquartered in London, known for its extensive international presence and work on high-profile corporate and financial transactions.
  • D. DLA Piper
    DLA Piper is a large global law firm headquartered in London and Chicago, known for providing a wide range of legal services to corporate, government, and institutional clients worldwide.
  • E. Latham & Watkins
    Latham & Watkins is a leading global law firm known for its extensive corporate, finance, and litigation practices across major financial and business centers worldwide.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc032f108190a89e47d1458f3f55 completed April 20, 2026, 10:12 a.m.
Created at: April 10, 2026, 1:30 p.m.