Triple

T22655980
Position Surface form Disambiguated ID Type / Status
Subject The Tempest (2010 film) E559225 entity
Predicate character P662 FINISHED
Object Prospera
Prospera is the female sorcerer and exiled duchess who serves as the central figure of Shakespeare’s The Tempest in the 2010 film adaptation.
 E1547914 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: Prospera | Statement: [The Tempest (2010 film), character, Prospera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prospera
Context triple: [The Tempest (2010 film), character, Prospera]
  • A. Porvenir
    Porvenir is a small town that serves as the capital of Pando Department in northern Bolivia, near the border with Brazil.
  • B. Porvenir
    Porvenir is a small Chilean town on Tierra del Fuego that serves as an important fishing and service port on the Strait of Magellan.
  • C. Tala
    Tala is a city in Egypt’s Monufia Governorate, located in the Nile Delta and serving as a local administrative and commercial center.
  • D. Tala
    Tala is a town in Maharashtra, India, situated within the Raigad district and known for its rural setting and local administrative significance.
  • E. Tala
    Tala is a landmark 1938 poetry collection by Chilean Nobel laureate Gabriela Mistral, noted for its innovative structure and exploration of themes such as motherhood, loss, and Latin American identity.
  • 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: Prospera
Triple: [The Tempest (2010 film), character, Prospera]
Generated description
Prospera is the female sorcerer and exiled duchess who serves as the central figure of Shakespeare’s The Tempest in the 2010 film adaptation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prospera
Target entity description: Prospera is the female sorcerer and exiled duchess who serves as the central figure of Shakespeare’s The Tempest in the 2010 film adaptation.
  • A. Porvenir
    Porvenir is a small Chilean town on Tierra del Fuego that serves as an important fishing and service port on the Strait of Magellan.
  • B. Porvenir
    Porvenir is a small town that serves as the capital of Pando Department in northern Bolivia, near the border with Brazil.
  • C. Tala
    Tala is a city in Egypt’s Monufia Governorate, located in the Nile Delta and serving as a local administrative and commercial center.
  • D. Tala
    Tala is a landmark 1938 poetry collection by Chilean Nobel laureate Gabriela Mistral, noted for its innovative structure and exploration of themes such as motherhood, loss, and Latin American identity.
  • E. Tala
    Tala is a town in Maharashtra, India, situated within the Raigad district and known for its rural setting and local administrative significance.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765b93dc8190a0357dd4b6ae524a completed April 29, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b586ad7e88190a2151f296cb52be8 completed May 18, 2026, 6:20 p.m.
NEDg Description generation batch_6a0b6f5f8bd08190b325b9dd91e199e1 completed May 18, 2026, 7:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0b7044c94c81909a43b04f40af2a15 completed May 18, 2026, 8:02 p.m.
Created at: April 17, 2026, 3:06 p.m.