Triple

T3201601
Position Surface form Disambiguated ID Type / Status
Subject Elia Kazan E67063 entity
Predicate directed P7373 FINISHED
Object Boomerang! E67066 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: Boomerang! | Statement: [Elia Kazan, directed, Boomerang!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boomerang!
Context triple: [Elia Kazan, directed, Boomerang!]
  • A. Boomerang! chosen
    Boomerang! is a 1947 American film noir crime drama noted for its semi-documentary style and exploration of a real-life wrongful murder accusation.
  • B. Boomerang
    Boomerang is a television network known for airing classic and contemporary animated programming, particularly cartoons from the Warner Bros. and Hanna-Barbera libraries.
  • C. Boomerang
    Boomerang is a 1992 romantic comedy film starring Eddie Murphy that follows a suave advertising executive whose womanizing ways are challenged when he meets his match.
  • D. Boomerang II
    Boomerang II is a lesser-known track by Irish rock band U2, released as a B-side during their mid-1980s era.
  • E. Boomerang Bro
    Boomerang Bro is a recurring Koopa enemy in the Mario series known for attacking by throwing boomerangs in arcing patterns.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada9b046c8819087c0a61c4f9adeb7 completed March 8, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bc3695c8190abd58dbc74ca2271 completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.