Triple

T15702783
Position Surface form Disambiguated ID Type / Status
Subject The Bling Ring E380633 entity
Predicate composer P1361 FINISHED
Object Brian Reitzell E259301 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: Brian Reitzell | Statement: [The Bling Ring, composer, Brian Reitzell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Reitzell
Context triple: [The Bling Ring, composer, Brian Reitzell]
  • A. Brian Reitzell chosen
    Brian Reitzell is an American composer, producer, and former drummer best known for his atmospheric film and television scores and collaborations with directors like Sofia Coppola.
  • B. Todd Graff
    Todd Graff is an American actor, screenwriter, and director known for roles in films like "The Abyss" and for writing and directing the musical comedy "Camp."
  • C. Daniel Wohl
    Daniel Wohl is a contemporary composer known for blending acoustic instruments with electronic textures in film, television, and concert music.
  • D. Joshua Losey
    Joshua Losey is the son of acclaimed American film director Joseph Losey.
  • E. Craig Zobel
    Craig Zobel is an American filmmaker and television director known for works such as the thriller film "Compliance," the satirical horror movie "The Hunt," and episodes of acclaimed TV series.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f6e965881909319f85c51c6fb74 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff7577a3348190912fad48f7d8599e completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.