Triple

T18355273
Position Surface form Disambiguated ID Type / Status
Subject Sugar Baby E439777 entity
Predicate includedIn P1393 FINISHED
Object Love and Theft (album) NE NERFINISHED

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: Love and Theft (album) | Statement: [Sugar Baby, includedIn, Love and Theft (album)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love and Theft (album)
Context triple: [Sugar Baby, includedIn, Love and Theft (album)]
  • A. Love and Theft
    Love and Theft is an American country music group known for its harmony-driven sound and charting hits in the 2000s and 2010s.
  • B. Love and Theft chosen
    Love and Theft is a 2001 studio album by Bob Dylan that blends roots rock, blues, and folk influences and is widely acclaimed for its rich songwriting and stylistic range.
  • C. For Love’s Sake
    For Love’s Sake is a song by American country artist Dwight Yoakam, featured on his 2000 album "Tomorrow’s Sounds Today."
  • D. Songs for a Tailor
    Songs for a Tailor is a 1969 jazz-rock and progressive rock-influenced solo album by Scottish musician Jack Bruce, known for its adventurous songwriting and distinctive bass and vocal work.
  • E. Love for Love
    Love for Love is a celebrated Restoration comedy play by William Congreve, known for its witty dialogue, intricate plotting, and satirical portrayal of love and social manners in 17th-century London.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e516d69ae081908a36e7c3559a0694 completed April 19, 2026, 5:54 p.m.
Created at: April 10, 2026, 10:37 a.m.