Triple

T6379137
Position Surface form Disambiguated ID Type / Status
Subject Greg Lake E143537 entity
Predicate familyName P18 FINISHED
Object Lake
Lake is a common English surname that has been borne by various notable individuals in fields such as music, politics, and sports.
 E588386 NE FINISHED

How this triple was built (4 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: Lake | Statement: [Greg Lake, familyName, Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lake
Context triple: [Greg Lake, familyName, Lake]
  • A. Lake
    Lake is a Chicago Transit Authority 'L' station in the Loop that serves the Red Line subway.
  • B. The Lake
    The Lake is a village-like neighborhood in Newton, Massachusetts, known for its strong community identity and historically Irish-American roots.
  • C. The Lake
    The Lake is a painting by British artist L. S. Lowry, known for his distinctive depictions of industrial landscapes and urban life.
  • 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. Lake Oval
    Lake Oval is a historic Australian rules football ground in Melbourne that once served as the long-time home venue of the South Melbourne Football Club, now known as the Sydney Swans.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lake
Triple: [Greg Lake, familyName, Lake]
Generated description
Lake is a common English surname that has been borne by various notable individuals in fields such as music, politics, and sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lake
Target entity description: Lake is a common English surname that has been borne by various notable individuals in fields such as music, politics, and sports.
  • A. Lake
    Lake is a Chicago Transit Authority 'L' station in the Loop that serves the Red Line subway.
  • B. The Lake
    The Lake is a village-like neighborhood in Newton, Massachusetts, known for its strong community identity and historically Irish-American roots.
  • C. The Lake
    The Lake is a painting by British artist L. S. Lowry, known for his distinctive depictions of industrial landscapes and urban life.
  • 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. Lake Oval
    Lake Oval is a historic Australian rules football ground in Melbourne that once served as the long-time home venue of the South Melbourne Football Club, now known as the Sydney Swans.
  • F. None of above. chosen

Provenance (5 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0685029488190911fb24c470b6f0d completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62da95aac81909e5e6d310168a5f6 completed March 27, 2026, 7:11 a.m.
NEDg Description generation batch_69c62e318ac48190bf604e265c185fad completed March 27, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_69c62ee892208190b3b005a9bd41b744 completed March 27, 2026, 7:16 a.m.
Created at: March 22, 2026, 4:33 p.m.