Triple

T9428098
Position Surface form Disambiguated ID Type / Status
Subject Volta E227304 entity
Predicate featuresArtist P1952 FINISHED
Object Danja E346003 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: Danja | Statement: [Volta, featuresArtist, Danja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danja
Context triple: [Volta, featuresArtist, Danja]
  • A. Danja chosen
    Danja is an American record producer and songwriter known for his work on numerous pop and hip-hop hits alongside artists like Justin Timberlake and Nelly Furtado.
  • B. Dalva
    Dalva is a surname most notably associated with American film editor Robert Dalva, recognized for his work on major Hollywood productions.
  • C. Kaja
    Kaja is a diminutive or nickname commonly used for the given name Katarina.
  • D. Neilia
    Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
  • E. Daneyko
    Daneyko is the surname of Ken Daneyko, a longtime New Jersey Devils defenseman and three-time Stanley Cup champion in the National Hockey League.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c92ee848190baa41fe91a131305 completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1223d3cd8819089fec4c895125049 completed April 4, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:49 p.m.