Triple

T19998511
Position Surface form Disambiguated ID Type / Status
Subject Milva E494257 entity
Predicate alsoKnownAs P39 FINISHED
Object La Rossa
La Rossa is the nickname of Milva, the renowned Italian singer and actress celebrated for her powerful voice and fiery red hair.
 E1405347 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: La Rossa | Statement: [Milva, alsoKnownAs, La Rossa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Rossa
Context triple: [Milva, alsoKnownAs, La Rossa]
  • A. La Rossa
    La Rossa is a well-known nickname for the Italian city of Bologna, reflecting its distinctive red-hued architecture and historical left-wing political leanings.
  • B. Rosanero
    Rosanero is the traditional nickname of Italian football club Palermo FC, referring to the club’s distinctive pink-and-black colors.
  • C. Doria
    Doria is an influential Genoese noble family historically prominent in maritime, political, and military affairs of the Republic of Genoa.
  • D. La Concepción
    La Concepción is one of the defensive bastions of Fort San Pedro, a historic Spanish colonial military fortification in Cebu, Philippines.
  • E. La Concepción
    La Concepción is a municipality in Nicaragua known for its rural communities and agricultural activities within the Masaya region.
  • 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: La Rossa
Triple: [Milva, alsoKnownAs, La Rossa]
Generated description
La Rossa is the nickname of Milva, the renowned Italian singer and actress celebrated for her powerful voice and fiery red hair.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Rossa
Target entity description: La Rossa is the nickname of Milva, the renowned Italian singer and actress celebrated for her powerful voice and fiery red hair.
  • A. La Rossa
    La Rossa is a well-known nickname for the Italian city of Bologna, reflecting its distinctive red-hued architecture and historical left-wing political leanings.
  • B. Rosanero
    Rosanero is the traditional nickname of Italian football club Palermo FC, referring to the club’s distinctive pink-and-black colors.
  • C. Doria
    Doria is an influential Genoese noble family historically prominent in maritime, political, and military affairs of the Republic of Genoa.
  • D. La Concepción
    La Concepción is one of the defensive bastions of Fort San Pedro, a historic Spanish colonial military fortification in Cebu, Philippines.
  • E. La Concepción
    La Concepción is a municipality in Nicaragua known for its rural communities and agricultural activities within the Masaya region.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe6827481909469129feb9aad91 completed April 20, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a080509d0748190a2703a2e3ddb0fc1 completed May 16, 2026, 5:47 a.m.
NEDg Description generation batch_6a0806563e1c8190b702fcfc009c84d5 completed May 16, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0806e876c881909f0c30e5dd16ce20 completed May 16, 2026, 5:55 a.m.
Created at: April 11, 2026, 3:32 p.m.