Triple

T17434983
Position Surface form Disambiguated ID Type / Status
Subject The Last Don E423977 entity
Predicate mainCharacter P1183 FINISHED
Object Athena Aquitane
Athena Aquitane is a central figure in Mario Puzo’s crime novel "The Last Don," navigating the dangerous intersections of Hollywood power and Mafia influence.
E1268639 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: Athena Aquitane | Statement: [The Last Don, mainCharacter, Athena Aquitane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Athena Aquitane
Context triple: [The Last Don, mainCharacter, Athena Aquitane]
  • A. Athénaïs
    Athénaïs was the familiar name of Madame de Montespan, the influential chief mistress of King Louis XIV of France and a prominent figure at the 17th-century French court.
  • B. Artemida
    Artemida is a coastal town in East Attica, Greece, known for its beaches and proximity to Athens.
  • C. Demitra
    Demitra is a Slovak surname most notably associated with the late professional ice hockey star Pavol Demitra.
  • D. Amastris
    Amastris was a Persian noblewoman and Hellenistic queen who founded the city of Amastris on the Black Sea coast and was notable for her political influence in the early Hellenistic period.
  • E. Athena
    Athena is the ancient Greek goddess of wisdom, warfare, and crafts, and the patron deity of the city of Athens.
  • 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: Athena Aquitane
Triple: [The Last Don, mainCharacter, Athena Aquitane]
Generated description
Athena Aquitane is a central figure in Mario Puzo’s crime novel "The Last Don," navigating the dangerous intersections of Hollywood power and Mafia influence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Athena Aquitane
Target entity description: Athena Aquitane is a central figure in Mario Puzo’s crime novel "The Last Don," navigating the dangerous intersections of Hollywood power and Mafia influence.
  • A. Athénaïs
    Athénaïs was the familiar name of Madame de Montespan, the influential chief mistress of King Louis XIV of France and a prominent figure at the 17th-century French court.
  • B. Artemida
    Artemida is a coastal town in East Attica, Greece, known for its beaches and proximity to Athens.
  • C. Demitra
    Demitra is a Slovak surname most notably associated with the late professional ice hockey star Pavol Demitra.
  • D. Amastris
    Amastris was a Persian noblewoman and Hellenistic queen who founded the city of Amastris on the Black Sea coast and was notable for her political influence in the early Hellenistic period.
  • E. Athena
    "Athena" is a 2022 French action-drama film directed by Romain Gavras, known for its intense, single-take-style sequences and portrayal of a Parisian banlieue erupting into violent unrest after a police brutality incident.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4490361c081908fd24f9a812f212c completed April 19, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01aff0b26c8190a6e65451e52199bb completed May 11, 2026, 10:31 a.m.
NEDg Description generation batch_6a01b12b5df4819089fd89fd25338533 completed May 11, 2026, 10:36 a.m.
NED2 Entity disambiguation (via description) batch_6a01b17486c08190aa47953e74c62e84 completed May 11, 2026, 10:37 a.m.
Created at: April 10, 2026, 5:46 a.m.