Triple

T8133400
Position Surface form Disambiguated ID Type / Status
Subject Rosso Fiorentino E189908 entity
Predicate alsoKnownAs P39 FINISHED
Object Rosso
Rosso is the commonly used name of Rosso Fiorentino, a prominent Italian Mannerist painter of the early 16th century known for his expressive, unconventional style.
 E714066 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: Rosso | Statement: [Rosso Fiorentino, alsoKnownAs, Rosso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rosso
Context triple: [Rosso Fiorentino, alsoKnownAs, Rosso]
  • A. Rojo
    Rojo is a Spanish surname borne by various notable figures, including artists, politicians, and athletes.
  • B. Rojo
    "Rojo" is a popular Spanish-language reggaeton song by Colombian artist J Balvin, known for its emotional tone and vivid red-themed visuals.
  • C. Rosse
    Rosse is an alternative spelling or variant form of the name Ross, which is used as both a given name and a surname.
  • D. Carmine
    Carmine is a given name, often used in Italian and English-speaking contexts, that is related to the name Carmelo.
  • E. Crimson
    Crimson is the collective name for Harvard University's varsity athletic teams competing in collegiate sports.
  • 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: Rosso
Triple: [Rosso Fiorentino, alsoKnownAs, Rosso]
Generated description
Rosso is the commonly used name of Rosso Fiorentino, a prominent Italian Mannerist painter of the early 16th century known for his expressive, unconventional style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rosso
Target entity description: Rosso is the commonly used name of Rosso Fiorentino, a prominent Italian Mannerist painter of the early 16th century known for his expressive, unconventional style.
  • A. Rojo
    "Rojo" is a popular Spanish-language reggaeton song by Colombian artist J Balvin, known for its emotional tone and vivid red-themed visuals.
  • B. Rojo
    Rojo is a Spanish surname borne by various notable figures, including artists, politicians, and athletes.
  • C. Rosse
    Rosse is an alternative spelling or variant form of the name Ross, which is used as both a given name and a surname.
  • D. Carmine
    Carmine is a given name, often used in Italian and English-speaking contexts, that is related to the name Carmelo.
  • E. Crimson
    Crimson is the collective name for Harvard University's varsity athletic teams competing in collegiate sports.
  • F. None of above. chosen

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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43ba98c881909c4b4c9cd25ad063 completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc9488f0bc8190a4fdf6d021f54e13 completed April 1, 2026, 3:44 a.m.
NEDg Description generation batch_69cc95c180188190a2d541e8ea9a4c57 completed April 1, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69cc970698f88190a0869515904e50e3 completed April 1, 2026, 3:54 a.m.
Created at: March 30, 2026, 5:35 p.m.