Triple

T16710519
Position Surface form Disambiguated ID Type / Status
Subject Doug Emhoff E406093 entity
Predicate employer P7 FINISHED
Object DLA Piper E406094 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: DLA Piper | Statement: [Doug Emhoff, employer, DLA Piper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DLA Piper
Context triple: [Doug Emhoff, employer, DLA Piper]
  • A. DLA Piper chosen
    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.
  • B. 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.
  • 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. Kirkland & Ellis
    Kirkland & Ellis is a prominent American law firm known for its work in corporate, litigation, and restructuring matters for major global clients.
  • E. Hogan Lovells
    Hogan Lovells is a major global law firm formed through an international merger, known for its broad cross-border legal services across numerous practice areas and industries.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3865186b48190bb45a761f5cf1a83 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a739308190b4d645e096d1710b completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:20 a.m.