Triple

T5266650
Position Surface form Disambiguated ID Type / Status
Subject Measure for Measure E118952 entity
Predicate mainCharacter P1183 FINISHED
Object Mariana E186978 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: Mariana | Statement: [Measure for Measure, mainCharacter, Mariana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mariana
Context triple: [Measure for Measure, mainCharacter, Mariana]
  • A. Mariana chosen
    "Mariana" is a famous 1851 Pre-Raphaelite painting by John Everett Millais depicting a solitary woman in a richly detailed interior, inspired by Shakespeare’s "Measure for Measure" and Tennyson’s poem of the same name.
  • B. Mariana
    Mariana is a neighborhood (barrio) within the city of Dorado, Puerto Rico.
  • C. Galoa
    Galoa is a small coastal village located on Kadavu Island in Fiji, known for its traditional Fijian lifestyle and surrounding natural beauty.
  • D. Catalina
    Catalina is a feminine given name used in various Romance-language cultures, often considered a form of Catherine.
  • E. Fernandina de Jagua
    Fernandina de Jagua was the original colonial name of the Cuban city now known as Cienfuegos, an important port on the island’s southern coast.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bfabf9c819098f961243c31e508 completed March 20, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe8e5c948190a807a99bd35f710d completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:51 p.m.