Triple

T677000
Position Surface form Disambiguated ID Type / Status
Subject Thomas Dudley E13099 entity
Predicate familyName P18 FINISHED
Object Dudley E21380 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: Dudley | Statement: [Thomas Dudley, familyName, Dudley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dudley
Context triple: [Thomas Dudley, familyName, Dudley]
  • A. Dudley
    Dudley is a large industrial town in England’s West Midlands, historically known for its role in the Black Country and its prominent castle and zoo.
  • B. Dudley chosen
    Dudley is a masculine given name of English origin that has been borne by various notable figures in literature, politics, and entertainment.
  • C. Leyland
    Leyland is a town in Lancashire, England, historically known for its vehicle manufacturing industry, particularly Leyland Motors.
  • D. Tavistock
    Tavistock is a historic market town in Devon, England, known for its medieval abbey remains and association with the Russell family, Dukes of Bedford.
  • E. Hylton
    Hylton is the defendant in the landmark 1796 U.S. Supreme Court case Ware v. Hylton, which addressed the supremacy of federal treaties over conflicting state laws.
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a04b2ae881908a5c23453bef8572 completed March 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d6cdc9c81909eb3240c00fa530d completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:36 p.m.