Triple

T13178355
Position Surface form Disambiguated ID Type / Status
Subject Northmavine E313658 entity
Predicate contains P35 FINISHED
Object Mavis Grind
Mavis Grind is a narrow isthmus in Northmavine, Shetland, known for nearly connecting the Atlantic Ocean and the North Sea at one of their closest points.
 E1027613 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: Mavis Grind | Statement: [Northmavine, contains, Mavis Grind]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mavis Grind
Context triple: [Northmavine, contains, Mavis Grind]
  • A. Mavis
    Mavis is a character in Enid Blyton’s "Malory Towers" series, known as a talented but vain singer whose ambition often leads her into trouble.
  • B. Mavis
    Mavis is a central character in the animated Hotel Transylvania film series, known as Dracula’s spirited and independent vampire daughter.
  • C. Mavis
    Mavis is a fictional character who appears in the crime novel "The Drowning Pool."
  • D. Mavis
    Mavis is the Allied reporting name for the Kawanishi H6K, a Japanese World War II-era flying boat used primarily for maritime patrol and reconnaissance.
  • E. Miss Granny
    Miss Granny is a popular South Korean comedy-drama film about an elderly woman who mysteriously regains her youthful appearance, leading to humorous and heartfelt consequences.
  • 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: Mavis Grind
Triple: [Northmavine, contains, Mavis Grind]
Generated description
Mavis Grind is a narrow isthmus in Northmavine, Shetland, known for nearly connecting the Atlantic Ocean and the North Sea at one of their closest points.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mavis Grind
Target entity description: Mavis Grind is a narrow isthmus in Northmavine, Shetland, known for nearly connecting the Atlantic Ocean and the North Sea at one of their closest points.
  • A. Mavis
    Mavis is a central character in the animated Hotel Transylvania film series, known as Dracula’s spirited and independent vampire daughter.
  • B. Mavis
    Mavis is a fictional character who appears in the crime novel "The Drowning Pool."
  • C. Mavis
    Mavis is a character in Enid Blyton’s "Malory Towers" series, known as a talented but vain singer whose ambition often leads her into trouble.
  • D. Mavis
    Mavis is the Allied reporting name for the Kawanishi H6K, a Japanese World War II-era flying boat used primarily for maritime patrol and reconnaissance.
  • E. Miss Granny
    Miss Granny is a popular South Korean comedy-drama film about an elderly woman who mysteriously regains her youthful appearance, leading to humorous and heartfelt consequences.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c47e79c81908031d3e6f1cfd64f completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5ea93bc81908087326b3d043727 completed May 3, 2026, 7:14 a.m.
NEDg Description generation batch_69f6f9e78d488190a3b4f3c1050dc0a5 completed May 3, 2026, 7:31 a.m.
NED2 Entity disambiguation (via description) batch_69f6faae6bb481909939881996d0f5f6 completed May 3, 2026, 7:35 a.m.
Created at: April 9, 2026, 9:14 p.m.