Triple

T6194737
Position Surface form Disambiguated ID Type / Status
Subject Grosmont E138480 entity
Predicate near P350 FINISHED
Object Sleights E106910 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: Sleights | Statement: [Grosmont, near, Sleights]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sleights
Context triple: [Grosmont, near, Sleights]
  • A. Sleights chosen
    Sleights is a village in North Yorkshire, England, situated on the edge of the North York Moors near the River Esk.
  • B. The Trick
    The Trick is a British drama film in which George MacKay stars in a story inspired by the real-life "Climategate" email hacking scandal.
  • C. Smoke & Mirrors
    Smoke & Mirrors is a 2010 rock album by the American band Lifehouse, known for its melodic hooks and radio-friendly alternative rock sound.
  • D. Smoke and Mirrors
    "Smoke and Mirrors" is a collection of dark fantasy and speculative short stories by Neil Gaiman that blends myth, horror, and contemporary life.
  • E. The Master of Disguise
    The Master of Disguise is a 1990 nonfiction book by former CIA officer Antonio J. Mendez recounting his covert operations and expertise in espionage tradecraft.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062443cec81909dc9bafea2f5e7d4 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f1c162081909cf34e827f1bd7d7 completed March 23, 2026, 4:49 p.m.
Created at: March 22, 2026, 4:19 p.m.