Triple

T3313086
Position Surface form Disambiguated ID Type / Status
Subject Lord Huron E69617 entity
Predicate notableSong P4 FINISHED
Object Love Like Ghosts E345759 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: Love Like Ghosts | Statement: [Lord Huron, notableSong, Love Like Ghosts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love Like Ghosts
Context triple: [Lord Huron, notableSong, Love Like Ghosts]
  • A. Love Like Ghosts chosen
    "Love Like Ghosts" is an atmospheric indie folk song by American band Lord Huron, known for its haunting storytelling and cinematic, reverb-drenched sound.
  • B. Born as Ghosts
    Born as Ghosts is a song by Rage Against the Machine from their politically charged 1999 album "The Battle of Los Angeles."
  • C. Beautiful Ghosts
    "Beautiful Ghosts" is an original song co-written by Taylor Swift and Andrew Lloyd Webber for the 2019 film adaptation of the musical Cats.
  • D. Every Love Story Is a Ghost Story
    Every Love Story Is a Ghost Story is a biography of writer David Foster Wallace that explores his life, work, and legacy.
  • E. Hitchhiking Ghosts
    The Hitchhiking Ghosts are a trio of comical, skeletal spirits from Disney’s Haunted Mansion attraction, known for playfully “following” guests home at the ride’s finale.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0ef548481908b3aabc7052c70d8 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a759a3c81908105eae7fd856133 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:11 p.m.