Triple

T8661674
Position Surface form Disambiguated ID Type / Status
Subject Kate Dickie E205561 entity
Predicate notableWork P4 FINISHED
Object Matriarch
Matriarch is a 2018 British horror film in which Kate Dickie stars as a pregnant woman held captive by a disturbed rural couple.
 E749003 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: Matriarch | Statement: [Kate Dickie, notableWork, Matriarch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matriarch
Context triple: [Kate Dickie, notableWork, Matriarch]
  • A. Mamayi
    Mamayi was a powerful 14th-century military and political leader of the Golden Horde who played a central role in its internal power struggles and conflicts with emerging Russian principalities.
  • B. Grandmother Fa
    Grandmother Fa is Mulan’s witty and superstitious grandmother in Disney’s 1998 animated film, known for her comic relief and heartfelt support of Mulan’s unconventional path.
  • C. Materna
    Materna is the hymn tune composed by Samuel A. Ward that became widely known as the melody for the patriotic song "America the Beautiful."
  • D. Sarabi
    Sarabi is the lioness queen of the Pride Lands and mate of Mufasa in Disney's "The Lion King," best known as Simba's mother.
  • E. Gerenia
    Gerenia is an ancient town in Messenia, Greece, best known in Greek mythology as the homeland of the wise hero Nestor.
  • 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: Matriarch
Triple: [Kate Dickie, notableWork, Matriarch]
Generated description
Matriarch is a 2018 British horror film in which Kate Dickie stars as a pregnant woman held captive by a disturbed rural couple.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matriarch
Target entity description: Matriarch is a 2018 British horror film in which Kate Dickie stars as a pregnant woman held captive by a disturbed rural couple.
  • A. Mamayi
    Mamayi was a powerful 14th-century military and political leader of the Golden Horde who played a central role in its internal power struggles and conflicts with emerging Russian principalities.
  • B. Grandmother Fa
    Grandmother Fa is Mulan’s witty and superstitious grandmother in Disney’s 1998 animated film, known for her comic relief and heartfelt support of Mulan’s unconventional path.
  • C. Materna
    Materna is the hymn tune composed by Samuel A. Ward that became widely known as the melody for the patriotic song "America the Beautiful."
  • D. Sarabi
    Sarabi is the lioness queen of the Pride Lands and mate of Mufasa in Disney's "The Lion King," best known as Simba's mother.
  • E. Gerenia
    Gerenia is an ancient town in Messenia, Greece, best known in Greek mythology as the homeland of the wise hero Nestor.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc487147248190b5f1bff836a11e68 completed March 31, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccfda1dc8190a3b93b1c7e813f33 completed April 2, 2026, 8:09 p.m.
NEDg Description generation batch_69cece8d530081908f5a52d5d76bd414 completed April 2, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69cecf7c66308190b9fb87bc0ab510a8 completed April 2, 2026, 8:20 p.m.
Created at: March 30, 2026, 6:30 p.m.