Triple

T13555916
Position Surface form Disambiguated ID Type / Status
Subject Arthur Lake E323773 entity
Predicate name P16 FINISHED
Object Arthur Lake E323773 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: Arthur Lake | Statement: [Arthur Lake, name, Arthur Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur Lake
Context triple: [Arthur Lake, name, Arthur Lake]
  • A. Arthur Lake chosen
    Arthur Lake was an American actor best known for portraying Dagwood Bumstead in the long-running series of Blondie films and radio programs.
  • B. Rudyard Lake
    Rudyard Lake is a scenic reservoir in Staffordshire, England, popular for walking, boating, and other outdoor leisure activities.
  • C. Tasman Lake
    Tasman Lake is a proglacial lake in New Zealand’s Southern Alps, formed by meltwater from the retreating Tasman Glacier within Aoraki/Mount Cook National Park.
  • D. Blenheim Lake
    Blenheim Lake is an ornamental lake in the grounds of Blenheim Palace in Oxfordshire, England, forming a central feature of its landscaped parkland.
  • E. Jenkinson Lake
    Jenkinson Lake is a popular reservoir in El Dorado County, California, known for its camping, fishing, boating, and hiking opportunities in a forested Sierra Nevada setting.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff3063c8190bd20149b3f7df352 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3239c3bc8190a6838fe8f2f016bf completed May 8, 2026, 12:45 a.m.
Created at: April 9, 2026, 9:47 p.m.