Triple

T11458787
Position Surface form Disambiguated ID Type / Status
Subject Neil Pearson E271595 entity
Predicate notableWork P4 FINISHED
Object Waterloo Road E519760 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: Waterloo Road | Statement: [Neil Pearson, notableWork, Waterloo Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterloo Road
Context triple: [Neil Pearson, notableWork, Waterloo Road]
  • A. Waterloo Road
    Waterloo Road is a major thoroughfare in central London running near Waterloo station and connecting key cultural and commercial areas on the South Bank.
  • B. Waterloo Road chosen
    Waterloo Road is a British television drama series set in a troubled comprehensive school, focusing on the lives of its teachers and students.
  • C. Trafalgar Road
    Trafalgar Road is a major thoroughfare in New Kingston, Jamaica, known for its commercial activity and central location within the city’s business district.
  • D. Outram Road
    Outram Road is a major thoroughfare in Singapore’s Outram district, linking key residential, commercial, and medical areas near the city center.
  • E. Regent Road
    Regent Road is a notable street in central Edinburgh, Scotland, running along the southern edge of Calton Hill and offering prominent views of the city.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f2138081909408c7916cef99c9 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b366470819093a74828e2a85116 completed May 8, 2026, 11:01 p.m.
Created at: April 8, 2026, 9:35 p.m.