Triple

T12772143
Position Surface form Disambiguated ID Type / Status
Subject La Cenerentola E305270 entity
Predicate character P662 FINISHED
Object Alidoro
Alidoro is the wise philosopher and tutor to Prince Ramiro in Rossini’s opera "La Cenerentola," who secretly guides and protects Cinderella.
E1003763 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: Alidoro | Statement: [La Cenerentola, character, Alidoro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alidoro
Context triple: [La Cenerentola, character, Alidoro]
  • A. Reola
    Reola is a village in Tartu County, Estonia, situated just south of the city of Tartu.
  • B. Eliada
    Eliada is a lesser-known biblical figure mentioned in the Old Testament as one of King David’s sons.
  • C. Longido
    Longido is a town in northern Tanzania that serves as a local center near Mount Longido and the Kenyan border within the Arusha Region.
  • D. Lumarzo
    Lumarzo is a small municipality in the Liguria region of northwestern Italy, located in the hilly inland area near Genoa.
  • E. Akhras
    Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
  • 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: Alidoro
Triple: [La Cenerentola, character, Alidoro]
Generated description
Alidoro is the wise philosopher and tutor to Prince Ramiro in Rossini’s opera "La Cenerentola," who secretly guides and protects Cinderella.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alidoro
Target entity description: Alidoro is the wise philosopher and tutor to Prince Ramiro in Rossini’s opera "La Cenerentola," who secretly guides and protects Cinderella.
  • A. Reola
    Reola is a village in Tartu County, Estonia, situated just south of the city of Tartu.
  • B. Eliada
    Eliada is a lesser-known biblical figure mentioned in the Old Testament as one of King David’s sons.
  • C. Longido
    Longido is a town in northern Tanzania that serves as a local center near Mount Longido and the Kenyan border within the Arusha Region.
  • D. Lumarzo
    Lumarzo is a small municipality in the Liguria region of northwestern Italy, located in the hilly inland area near Genoa.
  • E. Akhras
    Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df5b68481908a5d40516b09be52 completed April 10, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68eba76008190ad9df2e2a5423471 completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f6916dfb2c819098c087b02c07618f completed May 3, 2026, 12:06 a.m.
NED2 Entity disambiguation (via description) batch_69f692017adc8190a07ab274958c7b0a completed May 3, 2026, 12:08 a.m.
Created at: April 9, 2026, 5:28 p.m.