Triple

T23101376
Position Surface form Disambiguated ID Type / Status
Subject Love and Other Catastrophes E576038 entity
Predicate mainCharacter P1183 FINISHED
Object Danni
Danni is the central protagonist of the Australian romantic comedy film "Love and Other Catastrophes," around whose chaotic love life and university struggles the story revolves.
 E1571556 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: Danni | Statement: [Love and Other Catastrophes, mainCharacter, Danni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Danni
Context triple: [Love and Other Catastrophes, mainCharacter, Danni]
  • A. Deni
    Deni is a person whose given name is used as a personal identifier, likely in a contemporary English-speaking context.
  • B. Danna
    Danna is the surname of Mychael Danna, a Canadian composer renowned for his innovative and atmospheric film scores.
  • C. Danielle
    Danielle is the given first name of American actress and producer Riley Keough, known for her roles in films like "Mad Max: Fury Road" and the series "Daisy Jones & The Six."
  • D. Danielle
    Danielle is the young prodigy and central superheroine of the novel "Chronicles of a Superheroine," known for using her intelligence and creativity to tackle global challenges.
  • E. Danielle
    Danielle is a fictional daughter of a lady character, appearing as part of a narrative family relationship in a work of fiction.
  • 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: Danni
Triple: [Love and Other Catastrophes, mainCharacter, Danni]
Generated description
Danni is the central protagonist of the Australian romantic comedy film "Love and Other Catastrophes," around whose chaotic love life and university struggles the story revolves.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Danni
Target entity description: Danni is the central protagonist of the Australian romantic comedy film "Love and Other Catastrophes," around whose chaotic love life and university struggles the story revolves.
  • A. Deni
    Deni is a person whose given name is used as a personal identifier, likely in a contemporary English-speaking context.
  • B. Danna
    Danna is the surname of Mychael Danna, a Canadian composer renowned for his innovative and atmospheric film scores.
  • C. Danielle
    Danielle is the given first name of American actress and producer Riley Keough, known for her roles in films like "Mad Max: Fury Road" and the series "Daisy Jones & The Six."
  • D. Danielle
    Danielle is a fictional daughter of a lady character, appearing as part of a narrative family relationship in a work of fiction.
  • E. Danielle
    "Danielle" is a work created by Sarah Churchill, known as part of her contributions to the arts.
  • 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18de8c5b4819095cddf989cade60d completed April 29, 2026, 4:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c23e26fcc81908c83314244c8bc44 completed May 19, 2026, 8:48 a.m.
NEDg Description generation batch_6a0c27f16a188190ac5eeb3c0dbe2ac4 completed May 19, 2026, 9:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0c28f3c9288190b9ee0e5c4911ee9b completed May 19, 2026, 9:10 a.m.
Created at: April 17, 2026, 3:58 p.m.