Triple

T21339352
Position Surface form Disambiguated ID Type / Status
Subject Margaret Natalie Smith E526139 entity
Predicate middleName P143 FINISHED
Object Natalie
Natalie is the middle name of the acclaimed English actress Margaret Natalie Smith, better known as Maggie Smith.
E1478379 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: [Margaret Natalie Smith, middleName, Natalie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natalie
Context triple: [Margaret Natalie Smith, middleName, 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: [Margaret Natalie Smith, middleName, Natalie]
Generated description
Natalie is the middle name of the acclaimed English actress Margaret Natalie Smith, better known as Maggie Smith.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Natalie
Target entity description: Natalie is the middle name of the acclaimed English actress Margaret Natalie Smith, better known as Maggie Smith.
  • A. Natalie
    Natalie is the given name of Natalie Evans, Baroness Evans of Bowes Park, a British Conservative politician and life peer.
  • B. Natalie
    Natalie is a key supporting character in the psychological thriller film "Memento," portrayed by actress Carrie-Anne Moss.
  • 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 fictional character portrayed by actress Jessica Sula.
  • E. 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."
  • 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e898dbea44819096dd25701ee462f9 completed April 22, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09a5c448cc81909f4b86f6d10b96a3 completed May 17, 2026, 11:25 a.m.
NEDg Description generation batch_6a09a6723714819087d80d62bdcb3926 completed May 17, 2026, 11:28 a.m.
NED2 Entity disambiguation (via description) batch_6a09a6d55bf08190bb4a90fbb258f49b completed May 17, 2026, 11:30 a.m.
Created at: April 16, 2026, 4:44 p.m.