Triple

T18452507
Position Surface form Disambiguated ID Type / Status
Subject Glen Garry estate E450818 entity
Predicate hasToponymicElement P96333 FINISHED
Object Garry 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: Garry | Statement: [Glen Garry estate, hasToponymicElement, Garry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garry
Context triple: [Glen Garry estate, hasToponymicElement, Garry]
  • A. Garry chosen
    Garry is a masculine given name most famously borne by former world chess champion Garry Kasparov.
  • B. Gary
    Gary is a small town in McDowell County, West Virginia, historically known as a coal mining community.
  • C. Gary
    Gary is an industrial city in northwest Indiana, historically known for its steel production and location within the American Rust Belt.
  • D. Gary
    Gary is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
  • E. Garris
    Garris is a surname most notably associated with American filmmaker and screenwriter Mick Garris, known for his work in the horror genre.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264906cc8190b8b2cb77ec93d480 completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:31 a.m.