Triple

T12005142
Position Surface form Disambiguated ID Type / Status
Subject Exile on Main St. E285761 entity
Predicate hasPart P35 FINISHED
Object Sweet Virginia E285748 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: Sweet Virginia | Statement: [Exile on Main St., hasPart, Sweet Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sweet Virginia
Context triple: [Exile on Main St., hasPart, Sweet Virginia]
  • A. Sweet Virginia chosen
    "Sweet Virginia" is a country-influenced rock song by The Rolling Stones, featured on their 1972 album Exile on Main St.
  • B. Miss Virginia
    Miss Virginia is a 2019 drama film starring Uzo Aduba as a determined mother who fights for better educational opportunities for her son and underserved children in Washington, D.C.
  • C. Sweet Southern Sugar
    Sweet Southern Sugar is a studio album by American musician Kid Rock that blends country, rock, and hip-hop influences.
  • D. Vita & Virginia
    Vita & Virginia is a 2018 biographical drama film that explores the romantic relationship between writers Vita Sackville-West and Virginia Woolf.
  • E. Sweet Lou
    Sweet Lou is the nickname of Lou Johnson, an American Major League Baseball outfielder best known for his key role with the Los Angeles Dodgers in the mid-1960s.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c481a48190b311d6809808ef1b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b0574d48190b336a6b9a4ada2a8 completed May 1, 2026, 11:14 a.m.
Created at: April 8, 2026, 9:46 p.m.