Triple

T14217337
Position Surface form Disambiguated ID Type / Status
Subject Annabelle Apsion E352389 entity
Predicate notableWork P4 FINISHED
Object The Lakes E341839 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: The Lakes | Statement: [Annabelle Apsion, notableWork, The Lakes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Lakes
Context triple: [Annabelle Apsion, notableWork, The Lakes]
  • A. The Lakes chosen
    The Lakes is a British television drama series set in England’s Lake District, following the troubled life of a young man who relocates there seeking a fresh start.
  • B. The Lakes
    The Lakes is an upscale residential community in Dubai known for its landscaped lakes, family-friendly environment, and proximity to major developments like Emirates Hills.
  • C. The Lake
    The Lake is a village-like neighborhood in Newton, Massachusetts, known for its strong community identity and historically Irish-American roots.
  • D. The Lake
    The Lake is a picturesque man-made body of water in New York City's Central Park, popular for boating, scenic views, and surrounding walking paths.
  • E. The Lake
    The Lake is a painting by British artist L. S. Lowry, known for his distinctive depictions of industrial landscapes and urban life.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6210213481908fac6893e8a9f143 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5b98d6881908c0efd086a973af2 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:06 a.m.