Triple

T7341707
Position Surface form Disambiguated ID Type / Status
Subject Catherine Suckling E169266 entity
Predicate motherOf P120 FINISHED
Object Maurice Nelson E336038 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: Maurice Nelson | Statement: [Catherine Suckling, motherOf, Maurice Nelson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maurice Nelson
Context triple: [Catherine Suckling, motherOf, Maurice Nelson]
  • A. Maurice Nelson chosen
    Maurice Nelson is the son of Edmund Nelson, a clergyman best known as the father of British naval hero Horatio Nelson.
  • B. Maurice Moore
    Maurice Moore was a colonial-era figure known for establishing the settlement that became Brunswick Town in what is now North Carolina.
  • C. Louis Nelson
    Louis Nelson is an American graphic designer best known for creating the powerful visual narrative elements of the Korean War Veterans Memorial in Washington, D.C.
  • D. Leonard Nelson
    Leonard Nelson was a German philosopher and mathematician known for reviving and developing the neo-Friesian school of critical philosophy in the early 20th century.
  • E. Melvin Gregg
    Melvin Gregg is an American actor and former Vine personality known for his roles in film and television, including the series "Nine Perfect Strangers."
  • 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0da176081909a40552c6f22087c completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84ee2397481909552cec2d4b90cc5 completed March 28, 2026, 9:57 p.m.
Created at: March 27, 2026, 3:04 p.m.