Triple

T14455144
Position Surface form Disambiguated ID Type / Status
Subject American Wedding E358439 entity
Predicate mainCharacter P1183 FINISHED
Object Oz Ostreicher E589944 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: Oz Ostreicher | Statement: [American Wedding, mainCharacter, Oz Ostreicher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oz Ostreicher
Context triple: [American Wedding, mainCharacter, 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. 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.
  • C. Oscar Shumsky
    Oscar Shumsky was a distinguished 20th-century American violinist and pedagogue renowned for his refined technique, rich tone, and influential teaching career.
  • D. Marty Adelstein
    Marty Adelstein is an American television producer and executive known for developing and producing numerous popular TV series.
  • E. Israel Iskowitz
    Israel Iskowitz was the birth name of Eddie Cantor, a famous American comedian, singer, actor, and radio and film star of the early 20th century.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91a8bf088190abf5fd4f646b8c62 completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf0743288190b3bec8c48b5c7893 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 1:19 a.m.