Triple

T20651548
Position Surface form Disambiguated ID Type / Status
Subject Abraham Duquesne E507507 entity
Predicate familyName P18 FINISHED
Object Duquesne NE NERFINISHED

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: Duquesne | Statement: [Abraham Duquesne, familyName, Duquesne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duquesne
Context triple: [Abraham Duquesne, familyName, Duquesne]
  • A. Duquesne chosen
    Duquesne is a French noble family name historically associated with military and colonial leadership, notably in 18th-century New France.
  • B. Duquesne
    Duquesne is a small industrial city in Allegheny County, Pennsylvania, historically known for its steel production along the Monongahela River.
  • C. Latrobe
    Latrobe is a surname most notably associated with Benjamin Henry Latrobe, a pioneering British-American architect often called the “father of American architecture.”
  • D. Latrobe
    Latrobe is a small city in Westmoreland County, Pennsylvania, known as the hometown of golfer Arnold Palmer and the birthplace of the banana split.
  • E. Latrobe
    Latrobe is a town in northern Tasmania, Australia, known for its historic streetscapes and proximity to the Mersey River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af21e87c8190835bf2b2ef195626 completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.