Triple

T15134442
Position Surface form Disambiguated ID Type / Status
Subject Telefone E361514 entity
Predicate hasTrack P3284 FINISHED
Object Casket Pretty E1137941 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: Casket Pretty | Statement: [Telefone, hasTrack, Casket Pretty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casket Pretty
Context triple: [Telefone, hasTrack, Casket Pretty]
  • A. Casket Pretty chosen
    "Casket Pretty" is a reflective, somber track by Noname that explores themes of death, violence, and vulnerability within her community.
  • B. Coffin
    "Coffin" is a song by Canadian singer-songwriter Jessie Reyez, known for its raw, emotional lyrics and soulful vocal delivery.
  • C. Coffin
    Coffin is a surname of English origin borne by various notable individuals, including American clergyman and social activist William Sloane Coffin.
  • D. Pretty Noose
    "Pretty Noose" is a 1996 grunge/alternative rock song by Soundgarden, released as a single from their album "Down on the Upside."
  • E. Funeral
    "Funeral" is a 2020 studio album by American rapper Lil Wayne that showcases his rapid-fire lyricism over a diverse range of modern trap and melodic production.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b29a4c819087f8818e3f5788f5 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfe8802c81909af9dd11a7805f31 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:06 a.m.