Triple

T9041047
Position Surface form Disambiguated ID Type / Status
Subject Burnin’ Train E216626 entity
Predicate sharesAlbumWith P85826 FINISHED
Object Ghosts E136035 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: Ghosts | Statement: [Burnin’ Train, sharesAlbumWith, Ghosts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ghosts
Context triple: [Burnin’ Train, sharesAlbumWith, Ghosts]
  • A. Ghosts chosen
    "Ghosts" is a song featured on the album "Carry On," known for its evocative themes and atmospheric sound.
  • B. Ghosts
    Ghosts is an 1881 realist drama by Henrik Ibsen that critiques social hypocrisy and explores themes of inherited guilt, morality, and the oppressive constraints of 19th-century society.
  • C. Ghosts
    Ghosts is a metafictional detective novella by Paul Auster that explores identity, authorship, and surveillance through an experimental, minimalist narrative.
  • D. GHOST!
    GHOST! is a track by Kid Cudi from his album "Man on the Moon II: The Legend of Mr. Rager," known for its introspective lyrics and atmospheric production.
  • E. The Ghost
    The Ghost is the stage name of Styles P, an American rapper known for his work with The LOX and D-Block Records.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b100a348190a59abd6e9b815c63 completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb98e6008190a73c76c50aa7ed23 completed April 3, 2026, 4:32 p.m.
Created at: March 30, 2026, 7:09 p.m.