Triple

T20102517
Position Surface form Disambiguated ID Type / Status
Subject Len Dawson E496578 entity
Predicate educatedAt P5 FINISHED
Object Alliance 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: Alliance High School | Statement: [Len Dawson, educatedAt, Alliance High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alliance High School
Context triple: [Len Dawson, educatedAt, Alliance High School]
  • A. Alliance High School chosen
    Alliance High School is a secondary school in Alliance, Ohio, best known as the alma mater of Pro Football Hall of Fame quarterback Len Dawson.
  • B. Alliance High School
    Alliance High School is a prestigious Kenyan secondary school renowned for educating many of the country’s prominent political and intellectual leaders.
  • 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 a public secondary school serving students in and around La Porte City, Iowa.
  • E. Union High School
    Union High School is an American secondary school best known as the alma mater of actor Ray Liotta.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66670a5b48190afe06c8a582bba3d completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:27 p.m.