Triple

T6464745
Position Surface form Disambiguated ID Type / Status
Subject An Officer and a Gentleman E142205 entity
Predicate mainCharacter P1183 FINISHED
Object Paula Pokrifki
Paula Pokrifki is the determined, working-class love interest of Zack Mayo in the romantic drama film "An Officer and a Gentleman."
 E594232 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: Paula Pokrifki | Statement: [An Officer and a Gentleman, mainCharacter, Paula Pokrifki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paula Pokrifki
Context triple: [An Officer and a Gentleman, mainCharacter, Paula Pokrifki]
  • A. Carmen Pavlovic
    Carmen Pavlovic is a theatre producer best known for leading the stage adaptation of Baz Luhrmann’s Moulin Rouge! into an award-winning Broadway musical.
  • B. Paula Dobriansky
    Paula Dobriansky is an American foreign policy expert and diplomat who has held several senior U.S. government positions, particularly in European and democracy-promotion affairs.
  • C. Renata Kallosh
    Renata Kallosh is a theoretical physicist known for her influential work in supergravity, string theory, and cosmology.
  • D. Pamela Habibović
    Pamela Habibović is a Dutch scientist and academic leader who serves as rector magnificus of Maastricht University.
  • E. Diana Pokorny
    Diana Pokorny is a film producer best known for her work on the fantasy adventure movie "Inkheart."
  • 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: Paula Pokrifki
Triple: [An Officer and a Gentleman, mainCharacter, Paula Pokrifki]
Generated description
Paula Pokrifki is the determined, working-class love interest of Zack Mayo in the romantic drama film "An Officer and a Gentleman."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paula Pokrifki
Target entity description: Paula Pokrifki is the determined, working-class love interest of Zack Mayo in the romantic drama film "An Officer and a Gentleman."
  • A. Carmen Pavlovic
    Carmen Pavlovic is a theatre producer best known for leading the stage adaptation of Baz Luhrmann’s Moulin Rouge! into an award-winning Broadway musical.
  • B. Paula Dobriansky
    Paula Dobriansky is an American foreign policy expert and diplomat who has held several senior U.S. government positions, particularly in European and democracy-promotion affairs.
  • C. Renata Kallosh
    Renata Kallosh is a theoretical physicist known for her influential work in supergravity, string theory, and cosmology.
  • D. Pamela Habibović
    Pamela Habibović is a Dutch scientist and academic leader who serves as rector magnificus of Maastricht University.
  • E. Diana Pokorny
    Diana Pokorny is a film producer best known for her work on the fantasy adventure movie "Inkheart."
  • 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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06a10305081909521ee200cf70a30 completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64be78ae48190b38390ed245694fb completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64cd369048190bc0702592083a909 completed March 27, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_69c64d911a1881908b280636365a4858 completed March 27, 2026, 9:27 a.m.
Created at: March 22, 2026, 4:49 p.m.