Triple

T20531606
Position Surface form Disambiguated ID Type / Status
Subject Ken Brett E504079 entity
Predicate highSchool P5 FINISHED
Object El Segundo High 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: El Segundo High School | Statement: [Ken Brett, highSchool, El Segundo High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Segundo High School
Context triple: [Ken Brett, highSchool, El Segundo High School]
  • A. El Segundo High School chosen
    El Segundo High School is a public secondary school serving students in the coastal city of El Segundo, California.
  • B. El Segundo Middle School
    El Segundo Middle School is a public middle school serving students in the coastal city of El Segundo, California.
  • C. La Serna High School
    La Serna High School is a public secondary school serving students in the Whittier area of Southern California.
  • D. Balboa High School
    Balboa High School is a public secondary school best known for serving the Balboa community with comprehensive academic and extracurricular programs for teenagers.
  • E. Cerritos High School
    Cerritos High School is a public secondary school in Cerritos, California, known for its strong academic performance and diverse student body.
  • 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_69e0b4b3a6e08190ae663701f50fab8e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a06b923c81908ba24be6645a7c61 completed April 20, 2026, 9:53 p.m.
Created at: April 16, 2026, 11:37 a.m.