Triple

T11953986
Position Surface form Disambiguated ID Type / Status
Subject Leonard Alfred Schneider E284501 entity
Predicate middleName P143 FINISHED
Object Alfred E14115 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: Alfred | Statement: [Leonard Alfred Schneider, middleName, Alfred]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alfred
Context triple: [Leonard Alfred Schneider, middleName, Alfred]
  • A. Alfred chosen
    Alfred is a masculine given name of English origin, historically popular in Anglo-Saxon and later English-speaking cultures.
  • B. Albert
    Albert is the given name of the renowned theoretical physicist Albert Einstein, whose work revolutionized modern physics.
  • C. Albert
    Albert was the given name of Albert I of Habsburg, a medieval King of Germany and member of the influential Habsburg dynasty.
  • D. Albert
    Albert is the given first name of American actor and singer Gordon MacRae, best known for his roles in classic film musicals like "Oklahoma!" and "Carousel."
  • E. Albert
    Albert is the given name of the 19th-century German-American painter Albert Bierstadt, renowned for his grand landscapes of the American West.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90365da288190a132703df563de23 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4590584608190bc00840c43f115a0 completed May 1, 2026, 7:40 a.m.
Created at: April 8, 2026, 9:45 p.m.