Triple

T2063281
Position Surface form Disambiguated ID Type / Status
Subject Marina von Neumann Whitman E45839 entity
Predicate familyName P18 FINISHED
Object Whitman E155751 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: Whitman | Statement: [Marina von Neumann Whitman, familyName, Whitman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whitman
Context triple: [Marina von Neumann Whitman, familyName, Whitman]
  • A. Whitman chosen
    Whitman is a small town in Plymouth County, Massachusetts, known as the birthplace of the chocolate chip cookie.
  • B. Walt Whitman
    Walt Whitman was a pioneering 19th-century American poet and essayist best known for his groundbreaking poetry collection "Leaves of Grass," which profoundly influenced modern literature.
  • C. Edward Dickinson
    Edward Dickinson was a prominent 19th-century Amherst lawyer, politician, and civic leader best known as the father of poet Emily Dickinson.
  • D. Whittier
    Whittier is a suburban city in Los Angeles County, California, known for its historic downtown, Quaker roots, and as the namesake of Whittier College.
  • E. Dickinson
    Dickinson is a surname most famously associated with figures such as American poet Emily Dickinson and Founding Father John Dickinson.
  • 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_69a8891b38288190abd572ccad9b6928 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9d3a92081909416c1d087876e99 completed March 7, 2026, 5:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2018ca808190a7c4586364e3587d completed March 9, 2026, 1:19 a.m.
Created at: March 4, 2026, 7:40 p.m.