Triple

T17697473
Position Surface form Disambiguated ID Type / Status
Subject Norma (character) E441208 entity
Predicate hasDuet P9649 FINISHED
Object Mira, o Norma
"Mira, o Norma" is a famous duet from Vincenzo Bellini's opera "Norma," renowned for its lyrical beauty and emotional intensity between the characters Norma and Adalgisa.
 E917284 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: Mira, o Norma | Statement: [Norma (character), hasDuet, Mira, o Norma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mira, o Norma
Context triple: [Norma (character), hasDuet, Mira, o Norma]
  • A. Norma
    Norma is a feminine given name used in various cultures, often considered the female counterpart of the name Norman.
  • B. Norma
    Norma is a small, faint constellation in the southern sky, located between Scorpius and Ara.
  • C. Norma
    Norma is a small Italian town in the Lazio region, known for its hilltop setting and proximity to the ancient archaeological site of Norba.
  • D. Norma
    "Norma" is an 1831 Italian bel canto opera by Vincenzo Bellini, renowned for its demanding title role and the famous aria "Casta diva."
  • E. Mira
    Mira is a coastal municipality in central Portugal known for its beaches, lagoons, and natural landscapes.
  • 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: Mira, o Norma
Triple: [Norma (character), hasDuet, Mira, o Norma]
Generated description
"Mira, o Norma" is a famous duet from Vincenzo Bellini's opera "Norma," renowned for its lyrical beauty and emotional intensity between the characters Norma and Adalgisa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mira, o Norma
Target entity description: "Mira, o Norma" is a famous duet from Vincenzo Bellini's opera "Norma," renowned for its lyrical beauty and emotional intensity between the characters Norma and Adalgisa.
  • A. Norma
    Norma is a feminine given name used in various cultures, often considered the female counterpart of the name Norman.
  • B. Norma
    Norma is a small Italian town in the Lazio region, known for its hilltop setting and proximity to the ancient archaeological site of Norba.
  • C. Norma
    Norma is a small, faint constellation in the southern sky, located between Scorpius and Ara.
  • D. Norma chosen
    "Norma" is an 1831 Italian bel canto opera by Vincenzo Bellini, renowned for its demanding title role and the famous aria "Casta diva."
  • E. Mira
    Mira is a 1971 Belgian-Dutch drama film directed by Fons Rademakers, based on Stijn Streuvels’ novel "De Teleurgang van den Waterhoek."
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47157fd688190ba990eaf46ceab01 completed April 19, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0223347be881908f3c227ca7240e61 completed May 11, 2026, 6:43 p.m.
NEDg Description generation batch_6a0225e434288190b4d2e64c638618ad completed May 11, 2026, 6:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0226bb01d881909d8bf1a0291ff14e completed May 11, 2026, 6:58 p.m.
Created at: April 10, 2026, 10:04 a.m.