Triple

T13056961
Position Surface form Disambiguated ID Type / Status
Subject Raymond v. Raymond E327603 entity
Predicate producer P490 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: [Raymond v. Raymond, producer, Danja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danja
Context triple: [Raymond v. Raymond, producer, 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. Thyra Danebod
    Thyra Danebod was a legendary Danish queen, celebrated in medieval sources as a wise and patriotic consort of King Gorm the Old and often credited with strengthening Denmark’s defenses.
  • D. Kaja
    Kaja is a diminutive or nickname commonly used for the given name Katarina.
  • E. 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.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980bd305c8190bcf191b2d35ec8de completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbdead348190aa7aaa29c371d72a completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:58 p.m.