Triple

T6362671
Position Surface form Disambiguated ID Type / Status
Subject Life Is Sweet E143147 entity
Predicate mainCharacter P1183 FINISHED
Object Natalie
Natalie is the central protagonist of the British film "Life Is Sweet," around whom the story’s family and everyday struggles revolve.
 E588105 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: [Life Is Sweet, mainCharacter, Natalie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Natalie
Context triple: [Life Is Sweet, mainCharacter, 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 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 given name of Natalie Evans, Baroness Evans of Bowes Park, a British Conservative politician and life peer.
  • D. Nicole
    Nicole is a feminine given name of Greek origin meaning "victory of the people," commonly used in many English- and French-speaking countries.
  • E. Nicole
    Nicole is a fictional character from the American sitcom "The Gregory Hines Show."
  • 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: [Life Is Sweet, mainCharacter, Natalie]
Generated description
Natalie is the central protagonist of the British film "Life Is Sweet," around whom the story’s family and everyday struggles revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Natalie
Target entity description: Natalie is the central protagonist of the British film "Life Is Sweet," around whom the story’s family and everyday struggles revolve.
  • 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. Nicole
    Nicole is a feminine given name of Greek origin meaning "victory of the people," commonly used in many English- and French-speaking countries.
  • E. Nicole
    Nicole is a sharp-tongued, down-to-earth maid in Molière’s comedy "Le Bourgeois gentilhomme," often serving as a voice of reason and satire against her master’s pretensions.
  • 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0680c02b481908618317566e31a5c completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d73a6ac8190a02602c3506e4226 completed March 27, 2026, 7:10 a.m.
NEDg Description generation batch_69c62f2abb7481909a8d6b6a3b07db37 completed March 27, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69c62fcd18a0819089fa5f5912f432aa completed March 27, 2026, 7:20 a.m.
Created at: March 22, 2026, 4:32 p.m.