Triple

T16640867
Position Surface form Disambiguated ID Type / Status
Subject Lily Rose Beatrice Allen E404332 entity
Predicate placeOfBirth P1 FINISHED
Object Hammersmith NE NERFINISHED

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: Hammersmith | Statement: [Lily Rose Beatrice Allen, placeOfBirth, Hammersmith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hammersmith
Context triple: [Lily Rose Beatrice Allen, placeOfBirth, Hammersmith]
  • A. Hammersmith chosen
    Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
  • B. Harlesden
    Harlesden is a residential district in northwest London known for its diverse community and strong Caribbean and Brazilian cultural influences.
  • C. Kensington and Chelsea
    Kensington and Chelsea is a central-west London borough known for its affluent residential areas, cultural institutions, and landmarks such as Kensington Palace and the King's Road.
  • D. Willesden
    Willesden is a residential district in the London Borough of Brent, known for its diverse community and good transport links in northwest London.
  • E. St John’s Wood
    St John’s Wood is an affluent residential district in northwest London, known for its tree-lined streets, elegant villas, and landmarks such as Lord’s Cricket Ground and Abbey Road.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad0e5408190aef8b5577be73057 completed April 18, 2026, 12:36 p.m.
Created at: April 10, 2026, 5:18 a.m.