Triple

T23251699
Position Surface form Disambiguated ID Type / Status
Subject Marion Loretta Elwell Broderick E581746 entity
Predicate middleName P143 FINISHED
Object Elwell 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: Elwell | Statement: [Marion Loretta Elwell Broderick, middleName, Elwell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elwell
Context triple: [Marion Loretta Elwell Broderick, middleName, Elwell]
  • A. Elwell chosen
    Elwell is a masculine given name of English origin, historically used in the United States and associated with figures such as military officer Elwell Stephen Otis.
  • B. Dyle
    Dyle is a river in central Belgium that flows through cities such as Leuven and Mechelen before joining the Rupel.
  • C. Witham
    Witham is a town in the county of Essex, England, known as a residential and commuter community between Chelmsford and Colchester.
  • D. North Lynn
    North Lynn is a residential and industrial area within the town of King’s Lynn in Norfolk, England.
  • E. Poplar Hill
    Poplar Hill is a small rural community located within the municipality of Middlesex Centre in southwestern Ontario, Canada.
  • 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_69e24606b17c81908aba1a4911c8a8ba completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193f7249481909424867e9542d35e completed April 29, 2026, 5:15 a.m.
Created at: April 17, 2026, 4:11 p.m.