Triple

T5483554
Position Surface form Disambiguated ID Type / Status
Subject La Rossa E123522 entity
Predicate nameComponent P5298 FINISHED
Object Rossa
Rossa is an Italian given name and surname that appears in various personal and place names, often associated with the color red or historical nicknames.
 E521486 NE FINISHED

How this triple was built (4 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: [La Rossa, nameComponent, Rossa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rossa
Context triple: [La Rossa, nameComponent, Rossa]
  • A. Rossa
    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. Rosse
    Rosse is an alternative spelling or variant form of the name Ross, which is used as both a given name and a surname.
  • C. 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.
  • D. Rosa
    Rosa is a genus of flowering plants known for its ornamental roses, prized worldwide for their beauty, fragrance, and cultural symbolism.
  • E. Rosa
    Rosa is the birth name of Linda Christian, a Mexican film actress known as the first "Bond girl" for her role in the 1954 television adaptation of Casino Royale.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rossa
Triple: [La Rossa, nameComponent, Rossa]
Generated description
Rossa is an Italian given name and surname that appears in various personal and place names, often associated with the color red or historical nicknames.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rossa
Target entity description: Rossa is an Italian given name and surname that appears in various personal and place names, often associated with the color red or historical nicknames.
  • 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. Rosse
    Rosse is an alternative spelling or variant form of the name Ross, which is used as both a given name and a surname.
  • C. Rosa
    Rosa is the birth name of Linda Christian, a Mexican film actress known as the first "Bond girl" for her role in the 1954 television adaptation of Casino Royale.
  • D. 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.
  • E. Rosa
    Rosa is a genus of flowering plants known for its ornamental roses, prized worldwide for their beauty, fragrance, and cultural symbolism.
  • F. None of above.

Provenance (5 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd925deadc81908e193eeb75b63d90 completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48a4c67081909fb62ddcf0fb3047 completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf492769b08190a3675893ff3473c1 completed March 22, 2026, 1:43 a.m.
NED2 Entity disambiguation (via description) batch_69bf49956ee48190b74fa50728d4248b completed March 22, 2026, 1:44 a.m.
Created at: March 20, 2026, 2:10 p.m.