Triple

T3082925
Position Surface form Disambiguated ID Type / Status
Subject Shawn Kemp E64299 entity
Predicate highSchool P5 FINISHED
Object Concord High School E205104 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: Concord High School | Statement: [Shawn Kemp, highSchool, Concord High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concord High School
Context triple: [Shawn Kemp, highSchool, Concord High School]
  • A. Concord High School chosen
    Concord High School is a public secondary school in Concord, New Hampshire, best known as the teaching workplace of astronaut and teacher Christa McAuliffe.
  • B. Medford High School
    Medford High School is a public secondary school in Medford, Massachusetts, serving as the main high school for the city’s students.
  • C. Hawthorne High School
    Hawthorne High School is a public secondary school serving students in the city of Hawthorne in Los Angeles County, California.
  • D. Middlesex High School
    Middlesex High School is a public secondary school serving students in grades 9–12 in Middlesex Borough, New Jersey.
  • E. Wellesley High School
    Wellesley High School is a public secondary school in Wellesley, Massachusetts, known for its strong academics and notable alumni including Twitter co-founder Biz Stone.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1e877008190aacbd6f1357bdb9b completed March 8, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f89847e48190b82849701e119758 completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:03 p.m.