Triple

T18819630
Position Surface form Disambiguated ID Type / Status
Subject Rafferty Law E460227 entity
Predicate hasAgent P19389 FINISHED
Object Select Model Management (London) NE NERFINISHED

How this triple was built (3 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: Select Model Management (London) | Statement: [Rafferty Law, hasAgent, Select Model Management (London)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Select Model Management (London)
Context triple: [Rafferty Law, hasAgent, Select Model Management (London)]
  • A. More London
    More London is a modern riverside business and leisure development on the south bank of the River Thames in central London, known for its offices, public spaces, and views of Tower Bridge.
  • B. London Particular
    London Particular is a classic British crime novel by Christianna Brand, featuring her recurring detective Inspector Cockrill in a fog-shrouded murder mystery.
  • C. RMR London
    RMR London is a Royal Marines Reserve unit based in London that trains and supports part-time Royal Marines alongside their regular counterparts.
  • D. Vauxhall, London
    Vauxhall, London is a district in the London Borough of Lambeth known for its major transport interchange, riverside location on the Thames, and mix of residential, commercial, and nightlife venues.
  • E. CPS London
    CPS London is the regional division of the Crown Prosecution Service responsible for prosecuting criminal cases investigated by the police within the Greater London area.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Select Model Management (London)
Target entity description: Select Model Management (London) is a prominent UK-based modeling agency representing fashion models and talent, including high-profile figures like Rafferty Law.
  • A. More London
    More London is a modern riverside business and leisure development on the south bank of the River Thames in central London, known for its offices, public spaces, and views of Tower Bridge.
  • B. London Particular
    London Particular is a classic British crime novel by Christianna Brand, featuring her recurring detective Inspector Cockrill in a fog-shrouded murder mystery.
  • C. RMR London
    RMR London is a Royal Marines Reserve unit based in London that trains and supports part-time Royal Marines alongside their regular counterparts.
  • D. Vauxhall, London
    Vauxhall, London is a district in the London Borough of Lambeth known for its major transport interchange, riverside location on the Thames, and mix of residential, commercial, and nightlife venues.
  • E. CPS London
    CPS London is the regional division of the Crown Prosecution Service responsible for prosecuting criminal cases investigated by the police within the Greater London area.
  • F. None of above. chosen

Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6b8b7d88190a8828746176776ea completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:55 a.m.