Triple

T9706140
Position Surface form Disambiguated ID Type / Status
Subject The Winner Stands Alone E234903 entity
Predicate character P662 FINISHED
Object Ewa
Ewa is a fictional character in Paulo Coelho’s novel "The Winner Stands Alone," involved in the glamorous yet morally complex world surrounding the Cannes Film Festival.
 E815496 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: Ewa | Statement: [The Winner Stands Alone, character, Ewa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ewa
Context triple: [The Winner Stands Alone, character, Ewa]
  • A. Ewelina
    Ewelina is a feminine given name of Slavic origin, commonly used in Poland and other Central and Eastern European countries.
  • B. Ania
    Ania is a common Polish diminutive form of the female given name Anna, often used as an affectionate or familiar version of the name.
  • C. Nowra
    Nowra is a regional town in New South Wales, Australia, situated on the Shoalhaven River and serving as a commercial and administrative centre for the surrounding South Coast area.
  • D. Nowakowa
    Nowakowa is a Polish surname form traditionally used to denote the wife of a man named Nowak.
  • E. Walewska
    Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
  • 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: Ewa
Triple: [The Winner Stands Alone, character, Ewa]
Generated description
Ewa is a fictional character in Paulo Coelho’s novel "The Winner Stands Alone," involved in the glamorous yet morally complex world surrounding the Cannes Film Festival.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ewa
Target entity description: Ewa is a fictional character in Paulo Coelho’s novel "The Winner Stands Alone," involved in the glamorous yet morally complex world surrounding the Cannes Film Festival.
  • A. Ewelina
    Ewelina is a feminine given name of Slavic origin, commonly used in Poland and other Central and Eastern European countries.
  • B. Ania
    Ania is a common Polish diminutive form of the female given name Anna, often used as an affectionate or familiar version of the name.
  • C. Nowra
    Nowra is a regional town in New South Wales, Australia, situated on the Shoalhaven River and serving as a commercial and administrative centre for the surrounding South Coast area.
  • D. Nowakowa
    Nowakowa is a Polish surname form traditionally used to denote the wife of a man named Nowak.
  • E. Walewska
    Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
  • 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_69ca84cc78808190a56f3402b7c139a7 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9da369b4819081f6ce01289ed725 completed April 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1913aa6e4819081964cf9bcf24fca completed April 4, 2026, 10:31 p.m.
NEDg Description generation batch_69d193150c00819080ed0fbb050b60bf completed April 4, 2026, 10:39 p.m.
NED2 Entity disambiguation (via description) batch_69d19416efd48190865d0178e5e893fa completed April 4, 2026, 10:43 p.m.
Created at: March 30, 2026, 8:19 p.m.