Triple

T7193023
Position Surface form Disambiguated ID Type / Status
Subject Leighton E167740 entity
Predicate hasVariant P455 FINISHED
Object Layton E210251 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: Layton | Statement: [Leighton, hasVariant, Layton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Layton
Context triple: [Leighton, hasVariant, Layton]
  • A. Layton chosen
    Layton is a rapidly growing suburban city in northern Utah, located along the Wasatch Front and known for its proximity to Hill Air Force Base and the Great Salt Lake.
  • B. Lawson
    Lawson is a surname most prominently associated with Tina Knowles-Lawson, the fashion designer and mother of Beyoncé and Solange Knowles.
  • C. Lawson
    Lawson is a small town in the Blue Mountains region of New South Wales, Australia, known for its bushwalking trails, waterfalls, and historic village atmosphere.
  • D. Raydon
    Raydon is a small rural village and civil parish in Suffolk, England, known for its countryside setting and historic parish church.
  • E. Leland
    Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
  • 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_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e9036544819083c70a5d2135ba4b completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf95a1a0819099d252f037c318c7 completed March 28, 2026, 11:46 a.m.
Created at: March 27, 2026, 2:50 p.m.