Triple

T13672268
Position Surface form Disambiguated ID Type / Status
Subject Zuchu E327779 entity
Predicate associatedAct P37 FINISHED
Object Lava Lava E1053008 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: Lava Lava | Statement: [Zuchu, associatedAct, Lava Lava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lava Lava
Context triple: [Zuchu, associatedAct, Lava Lava]
  • A. Lava Lava chosen
    Lava Lava is a Tanzanian Bongo Flava singer and songwriter known for his romantic hits and for being signed to the WCB Wasafi record label founded by Diamond Platnumz.
  • B. Land of La La
    "Land of La La" is a track from Stevie Wonder's 1985 album *In Square Circle*, showcasing his signature blend of soulful vocals and rich synthesizer arrangements.
  • C. Good Lava
    Good Lava is a track by bassist and singer Esperanza Spalding from her genre-blending, concept-driven album Emily’s D+Evolution.
  • D. Land of Lola
    "Land of Lola" is a showstopping musical number from the Broadway musical *Kinky Boots*, performed by the character Lola as a bold, glamorous declaration of identity and confidence.
  • E. Lala Palooza
    Lala Palooza is a whimsical, overly complicated contraption created by cartoonist and inventor Rube Goldberg, exemplifying his signature style of humorous chain-reaction machines.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65aab348190a6611f5765f8392d completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d487e2c8190909e1c80cc2262ed completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 9:53 p.m.