Triple

T15310789
Position Surface form Disambiguated ID Type / Status
Subject Another Year E366029 entity
Predicate mainCharacters P9202 FINISHED
Object Mary
Mary is a central character in the British drama film "Another Year," portrayed as a lonely, emotionally fragile woman whose struggles with aging and relationships contrast with the stability of her friends.
E1150676 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: Mary | Statement: [Another Year, mainCharacters, Mary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary
Context triple: [Another Year, mainCharacters, Mary]
  • A. Mary
    Mary is the birth name of Dusty Springfield, the acclaimed British pop singer known for hits like "Son of a Preacher Man."
  • B. Mary
    Mary is the middle name of Edith Tolkien, the wife of author J.R.R. Tolkien.
  • C. Mary
    Mary is the middle name of Joseph Plunkett, the Irish nationalist, poet, and 1916 Easter Rising leader.
  • D. Mary
    Mary is the birth name of American actress, comedian, and writer Lily Tomlin, known for her groundbreaking work in television, film, and theater.
  • E. Mary
    Mary is a film featuring Italian actor Marco Leonardi, known for his roles in internationally acclaimed cinema.
  • 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: Mary
Triple: [Another Year, mainCharacters, Mary]
Generated description
Mary is a central character in the British drama film "Another Year," portrayed as a lonely, emotionally fragile woman whose struggles with aging and relationships contrast with the stability of her friends.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary
Target entity description: Mary is a central character in the British drama film "Another Year," portrayed as a lonely, emotionally fragile woman whose struggles with aging and relationships contrast with the stability of her friends.
  • A. Mary
    Mary is a central character in the romantic comedy film "About Time," known for her warm, quirky personality and her relationship with the time-traveling protagonist.
  • B. Mary
    Mary is a fictional character portrayed by British actress Gemma Jones, known for her nuanced performances in film and television.
  • C. Mary
    Mary is the central character of the film "Precious," a harshly abusive mother whose behavior profoundly shapes her daughter's traumatic life.
  • D. Mary
    Mary is the central protagonist of the play "The Memory of Water," around whom the story’s emotional and familial conflicts revolve.
  • E. Mary
    Mary is the eldest daughter of the Crawley family and a central character in the British period drama series "Downton Abbey."
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd176708190b0f6ba17aed92f8e completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a20c1881909b387aed6f532c3d completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fefa339f988190b470e052c853e4f8 completed May 9, 2026, 9:11 a.m.
NED2 Entity disambiguation (via description) batch_69fefac48df08190ad58e9d455546a57 completed May 9, 2026, 9:13 a.m.
Created at: April 10, 2026, 3:16 a.m.