Triple

T10721664
Position Surface form Disambiguated ID Type / Status
Subject Pietro Mascagni E252836 entity
Predicate composed P1142 FINISHED
Object Parisina
Parisina is an opera by Italian composer Pietro Mascagni, based on a tragic historical-romantic tale.
 E882152 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: Parisina | Statement: [Pietro Mascagni, composed, Parisina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Parisina
Context triple: [Pietro Mascagni, composed, Parisina]
  • A. Athina
    Athina is the given name of Athina Onassis, the granddaughter and principal heir of Greek shipping magnate Aristotle Onassis.
  • B. Athens
    Athens is Greece’s largest city and a historic center of ancient civilization, renowned as the birthplace of democracy and Western philosophy.
  • C. Athens
    Athens is a small rural municipality in eastern Ontario, Canada, known for its historic village character and proximity to the Thousand Islands region.
  • D. Athens
    Athens is a historic college town in northeastern Georgia, best known as the home of the University of Georgia and for its vibrant music and arts scene.
  • E. Athens
    Athens is a small town in Mercer County, West Virginia, best known as the home of Concord University.
  • 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: Parisina
Triple: [Pietro Mascagni, composed, Parisina]
Generated description
Parisina is an opera by Italian composer Pietro Mascagni, based on a tragic historical-romantic tale.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Parisina
Target entity description: Parisina is an opera by Italian composer Pietro Mascagni, based on a tragic historical-romantic tale.
  • A. Athina
    Athina is the given name of Athina Onassis, the granddaughter and principal heir of Greek shipping magnate Aristotle Onassis.
  • B. Athens
    Athens is Greece’s largest city and a historic center of ancient civilization, renowned as the birthplace of democracy and Western philosophy.
  • C. Athens
    Athens is a historic college town in northeastern Georgia, best known as the home of the University of Georgia and for its vibrant music and arts scene.
  • D. Athens
    Athens is a small town in Mercer County, West Virginia, best known as the home of Concord University.
  • E. Athens
    Athens is a small rural municipality in eastern Ontario, Canada, known for its historic village character and proximity to the Thousand Islands 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70d43655081909b071100c96cb4f6 completed April 9, 2026, 2:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb738f8488190837a675b82ce75aa completed April 12, 2026, 3:16 p.m.
NEDg Description generation batch_69dbbbe545748190b2bdbc3a75224eb0 completed April 12, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_69dbc59b315081909362892f5b989d25 completed April 12, 2026, 4:17 p.m.
Created at: April 8, 2026, 9:13 p.m.