Triple

T23557232
Position Surface form Disambiguated ID Type / Status
Subject BNA Records E579119 entity
Predicate signedArtist P16560 FINISHED
Object The Lost Trailers 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: The Lost Trailers | Statement: [BNA Records, signedArtist, The Lost Trailers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Lost Trailers
Context triple: [BNA Records, signedArtist, The Lost Trailers]
  • A. The Lost Trailers chosen
    The Lost Trailers are an American country music band known for their blend of traditional and contemporary country sounds and several charting singles in the 2000s.
  • B. Trailers from Hell
    Trailers from Hell is a film-centric website and video series where notable directors and filmmakers provide commentary on classic and cult movie trailers.
  • C. Backlot Express
    Backlot Express is a casual, movie-studio-themed quick-service restaurant located in the Echo Lake area of Disney's Hollywood Studios at Walt Disney World.
  • D. The Spoilers
    "The Spoilers" is a classic early 20th-century American Western story, best known through its multiple film adaptations depicting corruption and conflict in the Alaskan gold rush era.
  • E. Tronzilla
    Tronzilla is a music producer best known for crafting hard-hitting, high-energy tracks in the electronic and hip-hop scenes.
  • 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_69e245fe24588190888f3aec8407d8e3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1af659e9881908b527accfd2b1187 completed April 29, 2026, 7:12 a.m.
Created at: April 17, 2026, 6:12 p.m.