Triple

T3233662
Position Surface form Disambiguated ID Type / Status
Subject How I Got Over E67799 entity
Predicate featuresArtist P1952 FINISHED
Object Monsters of Folk E204846 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: Monsters of Folk | Statement: [How I Got Over, featuresArtist, Monsters of Folk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monsters of Folk
Context triple: [How I Got Over, featuresArtist, Monsters of Folk]
  • A. Monsters of Folk chosen
    Monsters of Folk is an indie rock supergroup featuring members of bands like My Morning Jacket, Bright Eyes, and M. Ward, known for their collaborative, folk-influenced sound.
  • B. Mondeenise Music
    Mondeenise Music is the independent record label founded by American R&B singer Monica to release her music and support her creative control.
  • C. Shouts & Murmurs
    Shouts & Murmurs is a long-running humor and satire column in The New Yorker known for its witty, often absurd short pieces by various writers.
  • D. Man of the Woods
    Man of the Woods is a 2018 studio album by American singer Justin Timberlake that blends pop, R&B, and country influences.
  • E. 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."
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaedcd9588190b3623f0109d653a4 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2773b494c8190a2c0c5042e8eaa55 completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:08 p.m.