Triple

T17185894
Position Surface form Disambiguated ID Type / Status
Subject I Could Live in Hope E417107 entity
Predicate hasTrack P3284 FINISHED
Object Down E421742 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: Down | Statement: [I Could Live in Hope, hasTrack, Down]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Down
Context triple: [I Could Live in Hope, hasTrack, Down]
  • A. Down
    Down is an American heavy metal supergroup known for its sludgy, doom-influenced sound and featuring members from prominent bands like Pantera and Corrosion of Conformity.
  • B. Down
    Down is a historic county in Northern Ireland known for its coastal landscapes, the Mourne Mountains, and its role in Irish and British history.
  • C. Down chosen
    Down is a 1994 noise rock album by The Jesus Lizard, noted for its abrasive sound, dark humor, and influential place in the American underground rock scene.
  • D. Down
    "Down" is a melodic, emotionally driven rock song by Blink-182 known for its atmospheric sound and introspective lyrics.
  • E. Down
    "Down" is a 2009 R&B-pop single by British singer Jay Sean featuring Lil Wayne that became an international hit and topped the US Billboard Hot 100.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42d962b988190bdbba81ac63c7e6e completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fcc424081908a7e74df0523443e completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:37 a.m.