Triple

T21162995
Position Surface form Disambiguated ID Type / Status
Subject Rossa E521486 entity
Predicate alsoKnownAs P39 FINISHED
Object Rossa NE NERFINISHED

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: Rossa | Statement: [Rossa, alsoKnownAs, Rossa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rossa
Context triple: [Rossa, alsoKnownAs, Rossa]
  • A. Rossa chosen
    Rossa is an alternative name for Hürrem Sultan, the influential 16th-century wife of Ottoman Sultan Suleiman the Magnificent and a powerful political figure in the empire.
  • B. Rosanna
    Rosanna is a residential suburb in Melbourne, Australia, known for its leafy streets, family-friendly atmosphere, and proximity to parklands and public transport.
  • C. Rosanna
    Rosanna is a feminine given name of Latin origin, derived from a combination of "Rose" and "Anna."
  • D. Rosse
    Rosse is an alternative spelling or variant form of the name Ross, which is used as both a given name and a surname.
  • E. Rosa
    Rosa is a celebrated poem by Nikki Giovanni that honors civil rights icon Rosa Parks and reflects on the broader struggle for racial justice.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72532e9348190ad37fe858843d0f5 completed April 21, 2026, 7:20 a.m.
Created at: April 16, 2026, 2:59 p.m.