Triple

T971730
Position Surface form Disambiguated ID Type / Status
Subject Karen (Love Actually) E20958 entity
Predicate child P120 FINISHED
Object Daisy (Love Actually)
Daisy is Karen and Harry’s young daughter in the film "Love Actually," best known for her role in the school Christmas pageant scene.
 E115233 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: Daisy (Love Actually) | Statement: [Karen (Love Actually), child, Daisy (Love Actually)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daisy (Love Actually)
Context triple: [Karen (Love Actually), child, Daisy (Love Actually)]
  • A. Karen (Love Actually)
    Karen is a central character in the romantic comedy film "Love Actually," a devoted wife and mother whose emotional storyline explores marital strain and heartbreak.
  • B. Daisy Parker
    Daisy Parker was the first wife of legendary jazz trumpeter and singer Louis Armstrong, whom he married in the early 1920s.
  • C. Daisy
    Daisy is a central character in Margaret Atwood's dystopian novel "The Testaments," whose perspective helps reveal the inner workings and resistance within the totalitarian regime of Gilead.
  • D. Lisa Taylor
    Lisa Taylor is known as the wife of American politician George Wallace, the former governor of Alabama.
  • E. Gillian
    Gillian is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • 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: Daisy (Love Actually)
Triple: [Karen (Love Actually), child, Daisy (Love Actually)]
Generated description
Daisy is Karen and Harry’s young daughter in the film "Love Actually," best known for her role in the school Christmas pageant scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daisy (Love Actually)
Target entity description: Daisy is Karen and Harry’s young daughter in the film "Love Actually," best known for her role in the school Christmas pageant scene.
  • A. Karen (Love Actually)
    Karen is a central character in the romantic comedy film "Love Actually," a devoted wife and mother whose emotional storyline explores marital strain and heartbreak.
  • B. Daisy Parker
    Daisy Parker was the first wife of legendary jazz trumpeter and singer Louis Armstrong, whom he married in the early 1920s.
  • C. Daisy
    Daisy is a central character in Margaret Atwood's dystopian novel "The Testaments," whose perspective helps reveal the inner workings and resistance within the totalitarian regime of Gilead.
  • D. Lisa Taylor
    Lisa Taylor is known as the wife of American politician George Wallace, the former governor of Alabama.
  • E. Gillian
    Gillian is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • 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_69a493b33d2c81909c52c369d3ca8436 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b44aa6088190a90c44a8f694ec41 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac170a00f481909da0394531ac24fe completed March 7, 2026, 12:16 p.m.
NEDg Description generation batch_69ac18e9be2081909770ab2ead56d0db completed March 7, 2026, 12:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac195b7cd08190b2c3f07d7ae849ed completed March 7, 2026, 12:26 p.m.
Created at: March 1, 2026, 7:40 p.m.