Triple

T6521291
Position Surface form Disambiguated ID Type / Status
Subject Auberon Waugh E151187 entity
Predicate educatedAt P5 FINISHED
Object Downside School E365702 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: Downside School | Statement: [Auberon Waugh, educatedAt, Downside School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Downside School
Context triple: [Auberon Waugh, educatedAt, Downside School]
  • A. Downside School chosen
    Downside School is a historic Roman Catholic independent boarding school in Somerset, England, known for its Benedictine heritage and academic tradition.
  • B. South School
    South School is a public elementary school serving early-grade students in the New Canaan, Connecticut community.
  • C. South School
    South School is a public elementary school serving young students in the town of Stoneham, Massachusetts.
  • D. West School
    West School is a public elementary school serving students in the New Canaan, Connecticut community.
  • E. Kateri School
    Kateri School is an educational institution serving the community of Kahnawà:ke, a Mohawk territory near Montreal, Canada.
  • 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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ad9431f081909b14b3df3414a55f completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb74dfac81908eb44811869450ae completed March 27, 2026, 6:24 p.m.
Created at: March 27, 2026, 1:45 p.m.