Triple

T20457497
Position Surface form Disambiguated ID Type / Status
Subject Victor Silvester E501831 entity
Predicate educatedAt P5 FINISHED
Object Downside School NE NERFINISHED

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: [Victor Silvester, educatedAt, Downside School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Downside School
Context triple: [Victor Silvester, 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. Christ School
    Christ School is an all-boys Episcopal college preparatory boarding and day school known for its rigorous academics and strong athletic programs in Arden, North Carolina.
  • E. Downey School
    Downey School is a public elementary school serving young students in the town of Westwood, Massachusetts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a2a8a88190992211b09295d8ea completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:33 a.m.