Triple

T21300858
Position Surface form Disambiguated ID Type / Status
Subject Jessica Sula E525056 entity
Predicate playedCharacter P1507 FINISHED
Object Natalie
Natalie is a fictional character portrayed by actress Jessica Sula.
 E1476341 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: Natalie | Statement: [Jessica Sula, playedCharacter, Natalie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Natalie
Context triple: [Jessica Sula, playedCharacter, Natalie]
  • A. Natalie
    Natalie is the central protagonist of the science fiction thriller film "The Darkest Hour," around whom the story’s alien-invasion survival plot revolves.
  • B. Natalie
    Natalie is the central protagonist of the British film "Life Is Sweet," around whom the story’s family and everyday struggles revolve.
  • C. Natalie
    Natalie is a central, idealized female figure in Goethe’s novel "Wilhelm Meister's Apprenticeship," often interpreted as embodying wisdom, moral guidance, and the protagonist’s mature romantic ideal.
  • D. Natalie
    Natalie is a key supporting character in the psychological thriller film "Memento," portrayed by actress Carrie-Anne Moss.
  • E. Natalie
    Natalie is a central character in the dance film "Step Up 3D," known for her impressive street-dance skills and complex personal relationships within the movie's crew.
  • 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: Natalie
Triple: [Jessica Sula, playedCharacter, Natalie]
Generated description
Natalie is a fictional character portrayed by actress Jessica Sula.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Natalie
Target entity description: Natalie is a fictional character portrayed by actress Jessica Sula.
  • A. Natalie
    Natalie is a key supporting character in the psychological thriller film "Memento," portrayed by actress Carrie-Anne Moss.
  • B. Natalie
    Natalie is a fictional character from the romantic comedy universe of "Love Actually," appearing in the charity sequel short film "Red Nose Day Actually."
  • C. Natalie
    Natalie is a central character in the dance film "Step Up 3D," known for her impressive street-dance skills and complex personal relationships within the movie's crew.
  • D. Natalie
    Natalie is the central protagonist of the science fiction thriller film "The Darkest Hour," around whom the story’s alien-invasion survival plot revolves.
  • E. Natalie
    Natalie is the central protagonist of the British film "Life Is Sweet," around whom the story’s family and everyday struggles revolve.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385c078881908a451be1a19a64c5 completed April 21, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0998169c7c8190b0612df9e85b84ed completed May 17, 2026, 10:27 a.m.
NEDg Description generation batch_6a0998a3326481908a4dfddfb7b2ecd9 completed May 17, 2026, 10:29 a.m.
NED2 Entity disambiguation (via description) batch_6a09996c8d7c81908cc9874f6e1a3fff completed May 17, 2026, 10:33 a.m.
Created at: April 16, 2026, 4:05 p.m.