Triple

T3515579
Position Surface form Disambiguated ID Type / Status
Subject Raymond Asquith E74298 entity
Predicate mother P120 FINISHED
Object Helen Kelsall Melland E205643 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: Helen Kelsall Melland | Statement: [Raymond Asquith, mother, Helen Kelsall Melland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen Kelsall Melland
Context triple: [Raymond Asquith, mother, Helen Kelsall Melland]
  • A. Helen Muir
    Helen Muir was the daughter of famed naturalist and conservationist John Muir, who helped preserve and promote her father's legacy.
  • B. Helen Morris
    Helen Morris is an American book editor and the longtime wife of acclaimed film director Martin Scorsese.
  • C. Helen Melland chosen
    Helen Melland was the wife of British Prime Minister Herbert Henry Asquith and a member of the English upper-middle class in the late 19th century.
  • D. Margaret Moffette Lea
    Margaret Moffette Lea was the second wife of Texas statesman Sam Houston and a prominent 19th-century Southern woman known for her influence on his personal life and religious convictions.
  • E. Helen Gibbins
    Helen Gibbins is the longtime wife of British comedian, actor, and writer Michael Palin, known for their enduring marriage that began before his Monty Python fame.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc30362c81908ca7497a6a935cc6 completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d035d97081908688d63527fd0f66 completed March 14, 2026, 9:16 p.m.
Created at: March 8, 2026, 3:19 p.m.