Triple

T14103604
Position Surface form Disambiguated ID Type / Status
Subject Voodoo E339444 entity
Predicate follows P134 FINISHED
Object Brown Sugar E139144 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: Brown Sugar | Statement: [Voodoo, follows, Brown Sugar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brown Sugar
Context triple: [Voodoo, follows, Brown Sugar]
  • A. Brown Sugar
    "Brown Sugar" is a 1971 rock song by the Rolling Stones, known for its gritty guitar riff, controversial lyrics, and status as one of the band’s signature hits.
  • B. Brown Sugar
    Brown Sugar is the critically acclaimed 1995 debut studio album by American neo-soul singer D'Angelo, known for helping pioneer the neo-soul movement.
  • C. Brown Sugar chosen
    Brown Sugar is a 2002 romantic comedy-drama film about lifelong friends navigating love and hip-hop in New York City, starring Taye Diggs and Sanaa Lathan.
  • D. Big Sugar
    Big Sugar is a Canadian rock band known for its heavy, blues-influenced sound and fusion of rock, reggae, and dub styles.
  • E. Sugar Mas
    Sugar Mas is the annual Christmas–New Year carnival celebration in Saint Kitts, featuring parades, music, pageantry, and cultural festivities.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fbd02888190bf07fd6d8769b61c completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf02638881908eff75453b6a2aab completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.