Triple

T9480385
Position Surface form Disambiguated ID Type / Status
Subject Leonard Nelson E228620 entity
Predicate name P16 FINISHED
Object Leonard Nelson E228620 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: Leonard Nelson | Statement: [Leonard Nelson, name, Leonard Nelson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonard Nelson
Context triple: [Leonard Nelson, name, Leonard Nelson]
  • A. Leonard Nelson chosen
    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.
  • B. 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.
  • C. Leonard Rogers
    Leonard Rogers was a prominent British physician and researcher in tropical medicine, particularly known for his work in India on cholera, dysentery, and kala-azar.
  • D. Maurice Nelson
    Maurice Nelson is the son of Edmund Nelson, a clergyman best known as the father of British naval hero Horatio Nelson.
  • E. Leonard Harris
    Leonard Harris is an American actor and former television news commentator best known for his role as Senator Charles Palantine in the film "Taxi Driver."
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd8016813881908dafc026779c89c4 completed April 1, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12cf7526c8190b96693bdc13743d5 completed April 4, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:54 p.m.