Triple

T5898363
Position Surface form Disambiguated ID Type / Status
Subject Dan Jewett E131157 entity
Predicate employer P7 FINISHED
Object Lakeside School E24538 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: Lakeside School | Statement: [Dan Jewett, employer, Lakeside School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lakeside School
Context triple: [Dan Jewett, employer, Lakeside School]
  • A. Lakeside School chosen
    Lakeside School is a prestigious private preparatory school in Seattle, Washington, known for its rigorous academics and notable alumni including tech and business leaders.
  • B. Lakeside High School
    Lakeside High School is a public secondary school serving students in Columbia County, Georgia.
  • C. Lakeside Academy
    Lakeside Academy is a secondary school located in the Lachine borough of Montreal, Quebec, Canada.
  • D. Pacific Hills School
    Pacific Hills School is a private educational institution in Los Angeles, California, known for serving as the alma mater of several entertainment industry figures, including actor Jason Bateman.
  • E. Lakeridge High School
    Lakeridge High School is a public secondary school serving students in the Lake Oswego area of Oregon.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036f7b3f48190a499d43f8ffb2fa7 completed March 22, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c0076cd88190b10e51c52dcc6a2e completed March 23, 2026, 4:22 a.m.
Created at: March 22, 2026, 3:58 p.m.