Triple

T14460922
Position Surface form Disambiguated ID Type / Status
Subject Ed Skrein E358580 entity
Predicate placeOfBirth P1 FINISHED
Object Camden, London, England E715770 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: Camden, London, England | Statement: [Ed Skrein, placeOfBirth, Camden, London, England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camden, London, England
Context triple: [Ed Skrein, placeOfBirth, Camden, London, England]
  • A. Camden, London, England, United Kingdom chosen
    Camden is a vibrant district in north London, England, known for its alternative culture, bustling markets, and live music scene.
  • B. Camden Town
    Camden Town is a vibrant district in northwest London known for its alternative culture, markets, live music venues, and canalside atmosphere.
  • C. Hammersmith, London, England
    Hammersmith is a vibrant district in West London known for its commercial centers, riverside pubs, and role as a major transport and cultural hub.
  • D. Camberwell, London, England
    Camberwell, London, England is a district in the London Borough of Southwark known for its diverse community, vibrant arts scene, and proximity to central London.
  • E. Smithfield, London
    Smithfield, London is a historic area in the City of London best known for its centuries-old meat market and proximity to major institutions like St Bartholomew’s Hospital.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91abc1008190a19de4f8f0112c9d completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6495660081908ab9db11939e74f7 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:19 a.m.