Triple

T2747969
Position Surface form Disambiguated ID Type / Status
Subject The Salvation E60914 entity
Predicate hasCharacter P2308 FINISHED
Object Madelaine
Madelaine is a character in the Danish crime thriller film "The Salvation."
 E296306 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: Madelaine | Statement: [The Salvation, hasCharacter, Madelaine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Madelaine
Context triple: [The Salvation, hasCharacter, Madelaine]
  • A. Madelyn
    Madelyn is a feminine given name, often considered a modern variant of Madeline and commonly used in English-speaking countries.
  • B. Madeline Ashton
    Madeline Ashton is a vain, aging Hollywood actress whose obsession with youth and beauty leads her to drink a magical potion granting eternal life in the dark comedy film "Death Becomes Her."
  • C. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • D. Adeline
    Adeline is the virtuous and persecuted heroine of Ann Radcliffe’s Gothic novel "The Romance of the Forest."
  • E. Adeline
    Adeline is the given first name of the renowned English modernist writer Virginia Woolf.
  • 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: Madelaine
Triple: [The Salvation, hasCharacter, Madelaine]
Generated description
Madelaine is a character in the Danish crime thriller film "The Salvation."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Madelaine
Target entity description: Madelaine is a character in the Danish crime thriller film "The Salvation."
  • A. Madelyn
    Madelyn is a feminine given name, often considered a modern variant of Madeline and commonly used in English-speaking countries.
  • B. Madeline Ashton
    Madeline Ashton is a vain, aging Hollywood actress whose obsession with youth and beauty leads her to drink a magical potion granting eternal life in the dark comedy film "Death Becomes Her."
  • C. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • D. Adeline
    Adeline is the virtuous and persecuted heroine of Ann Radcliffe’s Gothic novel "The Romance of the Forest."
  • E. Adeline
    Adeline is the given first name of the renowned English modernist writer Virginia Woolf.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb4ff7b08190b72edb6a2bc5fd19 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc03bd03881908747845aede53f83 completed March 10, 2026, 6:54 a.m.
NEDg Description generation batch_69afc0a3dcb4819098e922989fb8165c completed March 10, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_69afc10deaa4819082ad29756b651480 completed March 10, 2026, 6:58 a.m.
Created at: March 6, 2026, 9:56 p.m.