Triple

T15152386
Position Surface form Disambiguated ID Type / Status
Subject Maria Jackson E361975 entity
Predicate residence P75 FINISHED
Object Ealing E80137 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: Ealing | Statement: [Maria Jackson, residence, Ealing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ealing
Context triple: [Maria Jackson, residence, Ealing]
  • A. Harlesden
    Harlesden is a residential district in northwest London known for its diverse community and strong Caribbean and Brazilian cultural influences.
  • B. Hammersmith
    Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
  • C. Barnet
    Barnet is a suburban area and parliamentary constituency in North London, England, known for its residential character and role in Greater London politics.
  • 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. Ealing, London chosen
    Ealing, London is a suburban district in West London known for its residential character, green spaces, and role as a filming location in British television and cinema.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00609040081908c849475a2fa6443 completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0328fa616c8190a682e7516e8ecbb9 completed May 12, 2026, 1:19 p.m.
Created at: April 10, 2026, 3:07 a.m.