Triple

T2742200
Position Surface form Disambiguated ID Type / Status
Subject Bernard Hopkins E60776 entity
Predicate familyName P18 FINISHED
Object Hopkins E49177 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: Hopkins | Statement: [Bernard Hopkins, familyName, Hopkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hopkins
Context triple: [Bernard Hopkins, familyName, Hopkins]
  • A. Hopkins chosen
    Hopkins is a common English and Welsh surname borne by numerous notable figures across politics, the arts, and academia.
  • B. Hopkin
    Hopkin is a surname and given name of English and Welsh origin, often considered a variant of Hopkins.
  • C. Johns Hopkins
    Johns Hopkins was a 19th-century American Quaker businessman, investor, and philanthropist whose bequests led to the creation of Johns Hopkins University and Johns Hopkins Hospital.
  • D. College Hill
    College Hill is a historic, affluent neighborhood in Providence, Rhode Island, known for its colonial architecture and as the home of Brown University and the Rhode Island School of Design.
  • E. Belmont
    Belmont is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb303898819098a7d192e29817f8 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbcca19881908b2e2eb0478c3e45 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:56 p.m.