Triple

T19867987
Position Surface form Disambiguated ID Type / Status
Subject Boomerang France E477439 entity
Predicate sisterChannel P5818 FINISHED
Object Boomerang 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: Boomerang | Statement: [Boomerang France, sisterChannel, Boomerang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boomerang
Context triple: [Boomerang France, sisterChannel, Boomerang]
  • A. Boomerang chosen
    Boomerang is a television network known for airing classic and contemporary animated programming, particularly cartoons from the Warner Bros. and Hanna-Barbera libraries.
  • B. Boomerang
    "Boomerang" is a 1998 puzzle-platform video game developed by The Creatures that features boomerang-based mechanics and environmental challenges.
  • C. Boomerang
    Boomerang is a steel shuttle roller coaster known for its forward-and-backward looping layout, operating at the Worlds of Fun amusement park in Kansas City, Missouri.
  • D. Boomerang
    "Boomerang" is a 2015 French drama film directed by François Favrat, in which François Cluzet stars in a story about a man uncovering long-buried family secrets.
  • E. Boomerang
    The Boomerang is an unconventional twin-boom, asymmetric light aircraft designed by Burt Rutan to offer improved safety and performance compared to traditional twin-engine planes.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658a0a7288190a82b85e3ae056d6b completed April 20, 2026, 4:47 p.m.
Created at: April 10, 2026, 1:51 p.m.