Triple

T2804414
Position Surface form Disambiguated ID Type / Status
Subject John Frederick Kensett E54017 entity
Predicate notableWork P4 FINISHED
Object Lake George E134662 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: Lake George | Statement: [John Frederick Kensett, notableWork, Lake George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake George
Context triple: [John Frederick Kensett, notableWork, Lake George]
  • A. Lake George, New York chosen
    Lake George, New York is a scenic resort town in the Adirondack Mountains known for its picturesque lake vistas that inspired many of Georgia O’Keeffe’s early paintings.
  • B. Seneca Lake
    Seneca Lake is one of New York State’s largest and deepest Finger Lakes, renowned for its scenic beauty and prominent wine-producing region.
  • C. Lake Luzerne, New York
    Lake Luzerne, New York is a small Adirondack town and resort community known for its lakeside recreation and scenic setting in upstate New York.
  • D. Caroga Lake
    Caroga Lake is a small hamlet and lakeside community in the Adirondack region of Fulton County, New York, known for outdoor recreation and seasonal tourism.
  • E. Cayuga Lake
    Cayuga Lake is the longest of New York State’s Finger Lakes, known for its scenic beauty, wineries, and role as a regional recreational and ecological hub.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde1409148190a06a401185a26b64 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b1de83d3008190bfb483e0c1e75700 completed March 11, 2026, 9:28 p.m.
Created at: March 6, 2026, 9:59 p.m.