Triple

T1258652
Position Surface form Disambiguated ID Type / Status
Subject Timothy Spall E12448 entity
Predicate notableWork P4 FINISHED
Object The Street E95635 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: The Street | Statement: [Timothy Spall, notableWork, The Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Street
Context triple: [Timothy Spall, notableWork, The Street]
  • A. The Street chosen
    The Street is a British television drama series known for its gritty, character-driven stories set in a working-class neighborhood.
  • B. Summer Street
    Summer Street is a major commercial thoroughfare in downtown Boston, Massachusetts, known for its retail shops, offices, and proximity to the Downtown Crossing area.
  • C. Cat Street
    Cat Street is a trendy pedestrian shopping and café-lined alley in Tokyo’s Harajuku–Shibuya area, known for its fashion boutiques and youth culture.
  • D. The Avenue
    The Avenue is an upmarket shopping and dining destination located within the Spinningfields district of Manchester, England.
  • E. Sugar Street
    Sugar Street is a novel by Egyptian Nobel laureate Naguib Mahfouz that continues his Cairo Trilogy, depicting the evolving fortunes and political awakenings of a Cairene family across generations.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfc3a2848190891e73b351019d5b completed March 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac9980a2a4819094ab26ac390476be completed March 7, 2026, 9:32 p.m.
Created at: March 1, 2026, 7:50 p.m.