Triple

T8427809
Position Surface form Disambiguated ID Type / Status
Subject One Love E199044 entity
Predicate previousAlbum P25308 FINISHED
Object Pop Life E199043 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: Pop Life | Statement: [One Love, previousAlbum, Pop Life]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pop Life
Context triple: [One Love, previousAlbum, Pop Life]
  • A. Pop Life chosen
    Pop Life is a dance-pop and electronic album by French DJ and producer David Guetta that helped solidify his rise in the international club and mainstream music scenes.
  • B. Pop
    Pop is an American cable television network known for airing entertainment programming including reruns, original series, and special events.
  • C. Pop
    Pop is U2’s 1997 studio album that blends alternative rock with electronic and dance influences, reflecting the band’s experimental phase in the late 1990s.
  • D. Pop
    Pop is a character in Ernest Hemingway’s nonfiction work "Green Hills of Africa," representing one of the hunting companions during his African safari.
  • E. Pop
    Pop is the nickname of Glenn Scobey "Pop" Warner, a pioneering early 20th-century American football coach known for his innovative strategies and lasting influence on the sport.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd124378c819086ea2fa6ecbfffe1 completed March 31, 2026, 1:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce399384ec81908d3ace592d1e3aea completed April 2, 2026, 9:40 a.m.
Created at: March 30, 2026, 6:07 p.m.