Triple

T2250733
Position Surface form Disambiguated ID Type / Status
Subject Wayne E49609 entity
Predicate hasDiminutive P456 FINISHED
Object Wayney E49609 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: Wayney | Statement: [Wayne, hasDiminutive, Wayney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wayney
Context triple: [Wayne, hasDiminutive, Wayney]
  • A. Wayne
    Wayne is a suburban community in Pennsylvania’s Main Line region, known for its residential neighborhoods and commuter access to Philadelphia.
  • B. Wayne chosen
    Wayne is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
  • C. Weston
    Weston is a historic residential neighbourhood in the former city of York, now part of Toronto, Ontario, known for its village-like character and location along the Humber River.
  • D. Weston
    Weston is a small coastal village on the Isle of Portland in Dorset, England, known for its traditional stone cottages and proximity to dramatic Jurassic Coast scenery.
  • E. Weston
    Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc11b61888190af3b11b87dc8e0dc completed March 7, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71c487908190903e06bcb2393484 completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:47 p.m.