Triple

T12255259
Position Surface form Disambiguated ID Type / Status
Subject Michael Henry de Young E292083 entity
Predicate familyName P18 FINISHED
Object de Young E617528 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: de Young | Statement: [Michael Henry de Young, familyName, de Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Young
Context triple: [Michael Henry de Young, familyName, de Young]
  • A. de Young chosen
    de Young is a surname most prominently associated with M. H. de Young, a 19th-century American newspaper publisher and co-founder of the San Francisco Chronicle.
  • B. Dore
    Dore is a suburban village on the southwestern edge of Sheffield, England, known for its affluent residential character and proximity to the Peak District.
  • C. Dore
    The Dore is a river in central France that flows through the Massif Central before joining the Allier.
  • D. Gugenheim
    Gugenheim is a Jewish family surname historically associated with Central and Western Europe, notably linked to several prominent families and individuals.
  • E. De Jonge
    De Jonge is a Dutch surname commonly borne by individuals of Dutch origin and occasionally used in the names of businesses or institutions.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc9dd5081908880061d52351850 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60abdc5988190a19104385f54fb06 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:52 p.m.