Triple

T14045702
Position Surface form Disambiguated ID Type / Status
Subject How Big, How Blue, How Beautiful E337949 entity
Predicate hasTrack P3284 FINISHED
Object Long & Lost E1076613 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: Long & Lost | Statement: [How Big, How Blue, How Beautiful, hasTrack, Long & Lost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Long & Lost
Context triple: [How Big, How Blue, How Beautiful, hasTrack, Long & Lost]
  • A. Long & Lost chosen
    "Long & Lost" is a song by English indie rock band Florence + The Machine, featured on their 2015 album "How Big, How Blue, How Beautiful."
  • B. Long Lost
    Long Lost is a 2021 concept album by American indie folk band Lord Huron, noted for its nostalgic, cinematic sound and ghostly, old-Hollywood-inspired storytelling.
  • C. Lost and Love
    Lost and Love is a 2015 Chinese drama film inspired by real child abduction cases, following a father's years-long search for his missing son.
  • D. For Those Lost
    For Those Lost is a socially conscious musical work by jazz pianist and composer Samora Pinderhughes that reflects his signature blend of political commentary and emotional storytelling.
  • E. Long Lost Family
    Long Lost Family is a British television series that reunites people with long-lost relatives, often after decades of separation, through emotional searches and investigations.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de312df37081909f45ce3e219af5dc completed April 14, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd099b7788190a7c309dba450e58f completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:20 p.m.