Triple

T22637787
Position Surface form Disambiguated ID Type / Status
Subject Chris Klein E558728 entity
Predicate characterPortrayed P1507 FINISHED
Object Chris "Oz" Ostreicher 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: Chris "Oz" Ostreicher | Statement: [Chris Klein, characterPortrayed, Chris "Oz" Ostreicher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris "Oz" Ostreicher
Context triple: [Chris Klein, characterPortrayed, Chris "Oz" Ostreicher]
  • A. Oz Ostreicher chosen
    Oz Ostreicher is a character from the American Pie film series, known as a kind-hearted jock and member of the core friend group.
  • B. Jerry Ostroski
    Jerry Ostroski is a former American football offensive lineman best known for his NFL career with the Buffalo Bills in the 1990s and early 2000s.
  • C. Max Ochs
    Max Ochs is an American guitarist and folk musician known for his intricate fingerstyle playing and association with the 1960s American primitive guitar movement.
  • D. Eric Zicklin
    Eric Zicklin is a television producer and writer known for his work as an executive producer on various TV projects.
  • E. Nicholas "Oz" Oseransky
    Nicholas "Oz" Oseransky is a mild-mannered, neurotic dentist who becomes entangled with a notorious hitman and the criminal underworld in the comedy film "The Whole Nine Yards."
  • 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1700edb608190ad786ff7fafea0da completed April 29, 2026, 2:42 a.m.
Created at: April 17, 2026, 3:04 p.m.