Triple

T16367748
Position Surface form Disambiguated ID Type / Status
Subject O Primo Basílio E397478 entity
Predicate mainCharacter P1183 FINISHED
Object Juliana E122225 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: [O Primo Basílio, mainCharacter, Juliana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juliana
Context triple: [O Primo Basílio, mainCharacter, Juliana]
  • A. Juliana
    Juliana is a feminine given name of Latin origin, commonly used in various European and Latin American countries.
  • B. Juliana chosen
    Juliana is an Old English religious poem attributed to the Anglo-Saxon poet Cynewulf, recounting the legend and martyrdom of Saint Juliana.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff3f0694819097faa1c1447a9e97 completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dc29f088190ba5d69ff3c12a251 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:08 a.m.