Triple

T11797368
Position Surface form Disambiguated ID Type / Status
Subject Jack Layton E280534 entity
Predicate familyName P18 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: [Jack Layton, familyName, Layton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Layton
Context triple: [Jack Layton, familyName, 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. Andre Layton
    Andre Layton is the former detective-turned-revolutionary leader aboard the perpetually moving train in the post-apocalyptic TV series "Snowpiercer."
  • C. Lanning
    Lanning is the central protagonist in the game Risk, around whom the primary narrative and strategic conflicts revolve.
  • D. Lawson
    Lawson is a surname most prominently associated with Tina Knowles-Lawson, the fashion designer and mother of Beyoncé and Solange Knowles.
  • E. 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.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a1cda0819092d66a82fd882786 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f131110aa081909aa0b0d532e473a5 completed April 28, 2026, 10:13 p.m.
Created at: April 8, 2026, 9:42 p.m.