Triple

T8215653
Position Surface form Disambiguated ID Type / Status
Subject Rowland Hill E191924 entity
Predicate name P16 FINISHED
Object Rowland Hill E191924 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: Rowland Hill | Statement: [Rowland Hill, name, Rowland Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rowland Hill
Context triple: [Rowland Hill, name, Rowland Hill]
  • A. Rowland Hill chosen
    Rowland Hill was a British teacher, social reformer, and postal pioneer best known for introducing the modern postal system and the first postage stamp, the Penny Black.
  • B. Gateacre
    Gateacre is a suburban district in south Liverpool, England, known for its historic village center and mix of Victorian and modern housing.
  • C. Bow Street Runners
    The Bow Street Runners were an early professional police force in London, often regarded as Britain’s first organized detective unit.
  • D. Portreeve of London
    The Portreeve of London was an early medieval civic official who served as the chief magistrate and royal representative in the city before the establishment of the office of Lord Mayor.
  • E. Mr. Lewisham
    Mr. Lewisham is the ambitious young schoolteacher protagonist of H. G. Wells's novel "Love and Mr. Lewisham," whose ideals and aspirations are tested by love and social constraints.
  • 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_69ca82c8c054819087fedd9a5436b8a3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb776dcfa08190969863b886336c91 completed March 31, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccedf320c08190ada5ae5c47d059eb completed April 1, 2026, 10:05 a.m.
Created at: March 30, 2026, 5:44 p.m.