Triple

T4924868
Position Surface form Disambiguated ID Type / Status
Subject John Griffith Chaney E110552 entity
Predicate educatedAt P5 FINISHED
Object Oakland High School E114402 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: Oakland High School | Statement: [John Griffith Chaney, educatedAt, Oakland High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oakland High School
Context triple: [John Griffith Chaney, educatedAt, Oakland High School]
  • A. Oakland High School chosen
    Oakland High School is a historic public high school in Oakland, California, known for educating notable figures including author Jack London.
  • B. Oakland Technical High School
    Oakland Technical High School is a public high school in Oakland, California, known for its diverse student body, strong academics, and notable alumni including NFL star Marshawn Lynch.
  • C. Union High School
    Union High School is an American secondary school best known as the alma mater of actor and comedian Robert Wuhl.
  • D. Union High School
    Union High School is an American secondary school best known as the alma mater of actor Ray Liotta.
  • E. Sequoia High School
    Sequoia High School is a public secondary school known for serving a diverse student body in the San Francisco Bay Area.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ffeb86c8190a2fabe1ae1d54118 completed March 20, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77a9dff481908c7f525f233d9bce completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:30 p.m.