Triple

T5531889
Position Surface form Disambiguated ID Type / Status
Subject Ferris Bueller's Day Off E145067 entity
Predicate musicBy P1952 FINISHED
Object Ira Newborn E302655 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: Ira Newborn | Statement: [Ferris Bueller's Day Off, musicBy, Ira Newborn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ira Newborn
Context triple: [Ferris Bueller's Day Off, musicBy, Ira Newborn]
  • A. Ira Newborn chosen
    Ira Newborn is an American composer and musician best known for his film scores and theme music for popular comedies of the 1980s and 1990s.
  • B. Ira Morgan
    Ira Morgan was an American cinematographer best known for his work on classic early 20th-century films, including collaborations with Charlie Chaplin.
  • C. Ira Bigelow
    Ira Bigelow is a notable individual associated with the Bigelow family or namesake, recognized for contributions significant enough to be distinctly recorded.
  • D. Ira Jayne
    Ira Jayne was a Michigan judge and attorney known for his role in the landmark Ossian Sweet trial involving racial tensions and self-defense.
  • E. Ira Hirschmann
    Ira Hirschmann was an American businessman and diplomat best known for his World War II efforts to rescue Jews from the Holocaust and his later work in international affairs.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f9d17ec8190b93b12931a4c1b33 completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c028094fa48190a1f48779a7963af9 completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:34 p.m.