Triple

T17177735
Position Surface form Disambiguated ID Type / Status
Subject Yesterday, Today and Tomorrow E416903 entity
Predicate mainCharacter P1183 FINISHED
Object Adelina
Adelina is the central female protagonist in the Italian film "Yesterday, Today and Tomorrow," portrayed in one of the movie’s three episodic stories.
E1256881 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: Adelina | Statement: [Yesterday, Today and Tomorrow, mainCharacter, Adelina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adelina
Context triple: [Yesterday, Today and Tomorrow, mainCharacter, Adelina]
  • A. Adela
    Adela is the rebellious youngest daughter in Federico García Lorca’s play "The House of Bernarda Alba," whose defiance against her oppressive mother drives the tragedy.
  • B. Adelia
    Adelia is a feminine given name of Latin origin, often considered a variant of Adela and associated with meanings related to nobility.
  • C. Adalinda
    Adalinda was a medieval noblewoman known primarily as the wife of William I, Duke of Aquitaine.
  • D. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • E. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • 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: Adelina
Triple: [Yesterday, Today and Tomorrow, mainCharacter, Adelina]
Generated description
Adelina is the central female protagonist in the Italian film "Yesterday, Today and Tomorrow," portrayed in one of the movie’s three episodic stories.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Adelina
Target entity description: Adelina is the central female protagonist in the Italian film "Yesterday, Today and Tomorrow," portrayed in one of the movie’s three episodic stories.
  • A. Adela
    Adela is the rebellious youngest daughter in Federico García Lorca’s play "The House of Bernarda Alba," whose defiance against her oppressive mother drives the tragedy.
  • B. Adelia
    Adelia is a feminine given name of Latin origin, often considered a variant of Adela and associated with meanings related to nobility.
  • C. Adalinda
    Adalinda was a medieval noblewoman known primarily as the wife of William I, Duke of Aquitaine.
  • D. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • E. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0ee5008190a73875b39841fd9f completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a016747a8908190a7ce1408abc70c47 completed May 11, 2026, 5:21 a.m.
NEDg Description generation batch_6a016838367c8190b5117d5314f71a16 completed May 11, 2026, 5:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0168976af88190a5f839a93538ac6f completed May 11, 2026, 5:26 a.m.
Created at: April 10, 2026, 5:37 a.m.