Triple

T6270708
Position Surface form Disambiguated ID Type / Status
Subject Diamond Rio E140525 entity
Predicate chartSingle P60345 FINISHED
Object Beautiful Mess E579144 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: Beautiful Mess | Statement: [Diamond Rio, chartSingle, Beautiful Mess]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beautiful Mess
Context triple: [Diamond Rio, chartSingle, Beautiful Mess]
  • A. Beautiful Mess chosen
    "Beautiful Mess" is a popular country song by American band Diamond Rio, known for its catchy melody and portrayal of love's chaotic charm.
  • B. Beautiful World
    "Beautiful World" is a 2006 pop album by British boy band Take That that marked their successful comeback after a decade-long hiatus.
  • C. Bad as Me
    Bad as Me is a critically acclaimed 2011 studio album by American singer-songwriter Tom Waits, noted for its raw, eclectic sound and vivid storytelling.
  • D. Crazy/Beautiful
    Crazy/Beautiful is a 2001 romantic drama film about the intense relationship between a troubled congressman’s daughter and a disciplined Latino student in Los Angeles.
  • E. But Beautiful
    "But Beautiful" is a popular jazz standard and romantic ballad composed by Jimmy Van Heusen with lyrics by Johnny Burke, widely recorded by vocalists and instrumentalists since the 1940s.
  • 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_69c008cabc4081909723e2547c9d6cc0 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063bb340c8190ab81b249cefa91ca completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c519404dbc8190850f7874d2be51b5 completed March 26, 2026, 11:32 a.m.
Created at: March 22, 2026, 4:25 p.m.