Triple

T11829539
Position Surface form Disambiguated ID Type / Status
Subject Alexia Juliana Marcela Laurentien E281349 entity
Predicate givenName P17 FINISHED
Object Juliana E336161 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: Juliana | Statement: [Alexia Juliana Marcela Laurentien, givenName, Juliana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juliana
Context triple: [Alexia Juliana Marcela Laurentien, givenName, Juliana]
  • A. Juliana
    Juliana is an Old English religious poem attributed to the Anglo-Saxon poet Cynewulf, recounting the legend and martyrdom of Saint Juliana.
  • B. Juliana chosen
    Juliana is a feminine given name of Latin origin, commonly used in various European and Latin American countries.
  • C. Juliana
    Juliana was Queen of the Netherlands from 1948 to 1980, known for her down-to-earth style and role in guiding the country through postwar reconstruction and decolonization.
  • D. Julia Antonia
    Julia Antonia was a Roman noblewoman of the late Republic, best known as the mother of the triumvir Mark Antony and a member of the influential Antonia gens.
  • E. Julianna
    Julianna is a feminine given name most notably borne by American actress Julianna Margulies.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62b75dc8190b27d24e46a262a11 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1672e736481909ba5f867cb840039 completed April 29, 2026, 2:04 a.m.
Created at: April 8, 2026, 9:43 p.m.