Triple

T8802948
Position Surface form Disambiguated ID Type / Status
Subject David Prowse E209453 entity
Predicate residence P75 FINISHED
Object Croydon E574969 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: Croydon | Statement: [David Prowse, residence, Croydon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Croydon
Context triple: [David Prowse, residence, Croydon]
  • A. Croydon chosen
    Croydon is a large town in South London, England, known as a major commercial and retail centre with extensive transport links into central London and surrounding areas.
  • B. West Croydon
    West Croydon is a key transport hub in the London Borough of Croydon, serving as an interchange for trams, trains, and buses.
  • C. East Croydon
    East Croydon is a major railway and tram interchange in south London, serving as a key hub for commuter and regional transport.
  • D. Camberwell
    Camberwell is a small rural locality in the Singleton Shire of New South Wales, Australia, known for its coal mining and agricultural activities.
  • E. Camberwell
    Camberwell is a district in south London known for its diverse community, vibrant arts scene, and mix of historic and modern urban character.
  • 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fbb5b108190a9f889d40aa20521 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfc921d3408190a2f823473bf9b4bc completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:44 p.m.