Triple

T17622448
Position Surface form Disambiguated ID Type / Status
Subject Kurt Student E429742 entity
Predicate familyName P18 FINISHED
Object Student 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: Student | Statement: [Kurt Student, familyName, Student]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Student
Context triple: [Kurt Student, familyName, Student]
  • A. Student chosen
    Student is a common surname that can be held by individuals such as Kurt Student, a notable historical figure.
  • B. Studen
    Studen is a municipality in the canton of Bern in Switzerland, known for its residential character and proximity to the city of Biel/Bienne.
  • C. Estudiantes
    Estudiantes is a historic Spanish basketball club from Madrid, known for its strong youth academy and long-standing presence in the top tiers of Spanish basketball.
  • D. Estudiantes
    Estudiantes is a historic Argentine football club from La Plata known for its passionate fan base and multiple domestic and international titles.
  • E. Estudiantes
    Estudiantes is the nickname of Tecos F.C., a Mexican football club historically associated with the Universidad Autónoma de Guadalajara.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46db98c54819088dadec9f6bcc559 completed April 19, 2026, 5:52 a.m.
Created at: April 10, 2026, 5:52 a.m.