Triple

T11155944
Position Surface form Disambiguated ID Type / Status
Subject John V. Knox E263905 entity
Predicate familyName P18 FINISHED
Object Knox E41868 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: Knox | Statement: [John V. Knox, familyName, Knox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Knox
Context triple: [John V. Knox, familyName, Knox]
  • A. Knox chosen
    Knox is a surname most famously associated with Henry Knox, a key American Revolutionary War general and the first United States Secretary of War.
  • B. Harrison
    Harrison is a common English surname borne by numerous notable figures across politics, the arts, and sciences.
  • C. Harrison
    Harrison is a city in New Jersey’s Hudson County, known as a residential and industrial community within the New York metropolitan area.
  • D. Harrison
    Harrison is a small lakeside city in northern Idaho known for its scenic location on Lake Coeur d'Alene and outdoor recreation opportunities.
  • E. Wilmot
    Wilmot is a rural township in Ontario, Canada, located within the Regional Municipality of Waterloo and known for its agricultural landscape and small communities such as Baden and New Hamburg.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8741cd48190b7cc29c6b6bc54ff completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e46352e0688190924f15bc7d7ede90 completed April 19, 2026, 5:08 a.m.
Created at: April 8, 2026, 9:28 p.m.