Triple

T4897522
Position Surface form Disambiguated ID Type / Status
Subject Evita E109717 entity
Predicate includesCharacter P5716 FINISHED
Object Magaldi
Magaldi is a character in the musical "Evita," typically portrayed as a tango singer who helps introduce Eva Perón to Buenos Aires society.
 E477999 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: Magaldi | Statement: [Evita, includesCharacter, Magaldi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Magaldi
Context triple: [Evita, includesCharacter, Magaldi]
  • A. Mawanella
    Mawanella is a town in central Sri Lanka known as a key transit point on the Colombo–Kandy road and for its surrounding rubber and tea plantations.
  • B. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • C. Diu
    Diu is a coastal town and former Portuguese colonial enclave on India’s western coast, known for its historic fort, churches, and beaches.
  • D. Marga
    Marga is a feminine given name, commonly used as a short or diminutive form of names like Margarita or Margareta.
  • E. Mona
    Mona is a feminine given name used in various cultures, often as a standalone name or a diminutive of names like Ramona or Simona.
  • 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: Magaldi
Triple: [Evita, includesCharacter, Magaldi]
Generated description
Magaldi is a character in the musical "Evita," typically portrayed as a tango singer who helps introduce Eva Perón to Buenos Aires society.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Magaldi
Target entity description: Magaldi is a character in the musical "Evita," typically portrayed as a tango singer who helps introduce Eva Perón to Buenos Aires society.
  • A. Mawanella
    Mawanella is a town in central Sri Lanka known as a key transit point on the Colombo–Kandy road and for its surrounding rubber and tea plantations.
  • B. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • C. Diu
    Diu is a coastal town and former Portuguese colonial enclave on India’s western coast, known for its historic fort, churches, and beaches.
  • D. Marga
    Marga is a feminine given name, commonly used as a short or diminutive form of names like Margarita or Margareta.
  • E. Mona
    Mona is a feminine given name used in various cultures, often as a standalone name or a diminutive of names like Ramona or Simona.
  • 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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e49992481908cc7cc1eeafd6494 completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fc997548190bb340193475065ee completed March 21, 2026, 10:15 a.m.
NEDg Description generation batch_69be70585e9881909b8ad633f6cc42a6 completed March 21, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_69be70d49768819088f4d523e968fdfb completed March 21, 2026, 10:20 a.m.
Created at: March 20, 2026, 1:28 p.m.