Triple

T17324294
Position Surface form Disambiguated ID Type / Status
Subject Georgina Spica E420645 entity
Predicate name P16 FINISHED
Object Georgina Spica NE ONDG

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: Georgina Spica | Statement: [Georgina Spica, name, Georgina Spica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georgina Spica
Context triple: [Georgina Spica, name, Georgina Spica]
  • A. Georgina Spica
    Georgina Spica is the abused yet defiant wife of a brutal gangster in Peter Greenaway’s film "The Cook, the Thief, His Wife & Her Lover," whose illicit affair becomes the catalyst for the story’s violent revenge.
  • B. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • C. Daria Cassini
    Daria Cassini was the daughter of American actress Gene Tierney and fashion designer Oleg Cassini, known largely for her parents’ Hollywood and couture legacies.
  • D. Calista
    Calista is a feminine given name best known for its association with American actress Calista Flockhart.
  • E. Crespina Lorenzana
    Crespina Lorenzana is a municipality in the Tuscany region of central Italy, known for its rural landscapes and traditional Tuscan character.
  • 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: Georgina Spica
Triple: [Georgina Spica, name, Georgina Spica]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Georgina Spica
Target entity description: Georgina Spica is a fictional character, likely from a narrative work such as a novel or film, whose specific background and role are not widely documented.
  • A. Georgina Spica chosen
    Georgina Spica is the abused yet defiant wife of a brutal gangster in Peter Greenaway’s film "The Cook, the Thief, His Wife & Her Lover," whose illicit affair becomes the catalyst for the story’s violent revenge.
  • B. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • C. Daria Cassini
    Daria Cassini was the daughter of American actress Gene Tierney and fashion designer Oleg Cassini, known largely for her parents’ Hollywood and couture legacies.
  • D. Calista
    Calista is a feminine given name best known for its association with American actress Calista Flockhart.
  • E. Crespina Lorenzana
    Crespina Lorenzana is a municipality in the Tuscany region of central Italy, known for its rural landscapes and traditional Tuscan character.
  • F. None of above.

Provenance (4 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d18e3081908ca15baa743abcd8 completed April 19, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01954ecadc8190a6484ff0a207fe9b completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01964923248190b0c3548d90bc1dd9 in_progress May 11, 2026, 8:41 a.m.
Created at: April 10, 2026, 5:43 a.m.