Triple

T9967781
Position Surface form Disambiguated ID Type / Status
Subject Carrie-Anne Moss E195727 entity
Predicate characterRole P268 FINISHED
Object Natalie
Natalie is a key supporting character in the psychological thriller film "Memento," portrayed by actress Carrie-Anne Moss.
 E832032 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: [Carrie-Anne Moss, characterRole, Natalie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Natalie
Context triple: [Carrie-Anne Moss, characterRole, Natalie]
  • A. 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."
  • B. Natalie
    Natalie is the given name of Natalie Evans, Baroness Evans of Bowes Park, a British Conservative politician and life peer.
  • C. 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.
  • D. Natalie
    Natalie is the central protagonist of the British film "Life Is Sweet," around whom the story’s family and everyday struggles revolve.
  • E. Natalie
    Natalie is a feminine given name of Latin origin, commonly associated with the meaning "birthday of the Lord" or "Christmas Day."
  • 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: [Carrie-Anne Moss, characterRole, Natalie]
Generated description
Natalie is a key supporting character in the psychological thriller film "Memento," portrayed by actress Carrie-Anne Moss.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Natalie
Target entity description: Natalie is a key supporting character in the psychological thriller film "Memento," portrayed by actress Carrie-Anne Moss.
  • 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 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 the central protagonist of the British film "Life Is Sweet," around whom the story’s family and everyday struggles revolve.
  • D. 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.
  • E. Natalie
    Natalie is a feminine given name of Latin origin, commonly associated with the meaning "birthday of the Lord" or "Christmas Day."
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb71f9d7c8190ac02c53052c1c6ad completed April 2, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23db701b881909bb986a32df4349b completed April 5, 2026, 10:47 a.m.
NEDg Description generation batch_69d23f35049c8190a71a88f5dd686596 completed April 5, 2026, 10:53 a.m.
NED2 Entity disambiguation (via description) batch_69d24097d4008190b7a9e7638cd9a972 completed April 5, 2026, 10:59 a.m.
Created at: March 30, 2026, 8:47 p.m.