Triple

T15659615
Position Surface form Disambiguated ID Type / Status
Subject Chaim Grade E376534 entity
Predicate spouse P13 FINISHED
Object Inna Grade
Inna Grade was the wife and literary executor of Yiddish writer Chaim Grade, known for preserving and promoting his literary legacy.
 E1170353 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: Inna Grade | Statement: [Chaim Grade, spouse, Inna Grade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Inna Grade
Context triple: [Chaim Grade, spouse, Inna Grade]
  • A. Arnissa
    Arnissa is a small town in northern Greece situated close to Lake Vegoritida, known for its scenic lakeside setting and surrounding natural landscape.
  • B. Nives
    Nives is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
  • C. Milina
    Milina is a seaside village in the Pelion region of central Greece, known for its tranquil beaches and views across the Pagasetic Gulf.
  • D. Ta’aisha
    The Ta’aisha are a Sudanese Arab tribal group from the Darfur–Kordofan region, historically prominent through their leadership role in the Mahdist state under Abdallahi ibn Muhammad.
  • E. Kaela
    Kaela is the given name of American professional basketball player Kaela Davis.
  • 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: Inna Grade
Triple: [Chaim Grade, spouse, Inna Grade]
Generated description
Inna Grade was the wife and literary executor of Yiddish writer Chaim Grade, known for preserving and promoting his literary legacy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Inna Grade
Target entity description: Inna Grade was the wife and literary executor of Yiddish writer Chaim Grade, known for preserving and promoting his literary legacy.
  • A. Arnissa
    Arnissa is a small town in northern Greece situated close to Lake Vegoritida, known for its scenic lakeside setting and surrounding natural landscape.
  • B. Nives
    Nives is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
  • C. Milina
    Milina is a seaside village in the Pelion region of central Greece, known for its tranquil beaches and views across the Pagasetic Gulf.
  • D. Ta’aisha
    The Ta’aisha are a Sudanese Arab tribal group from the Darfur–Kordofan region, historically prominent through their leadership role in the Mahdist state under Abdallahi ibn Muhammad.
  • E. Kaela
    Kaela is the given name of American professional basketball player Kaela Davis.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ef4e6a08190ad8bbafaa3612f22 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff679bb7f0819092a98c2981bc9267 completed May 9, 2026, 4:58 p.m.
NEDg Description generation batch_69ff68a1b374819089dc6fe1f252cc0f completed May 9, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69ff698bf6a481908d326451232a8cbb completed May 9, 2026, 5:06 p.m.
Created at: April 10, 2026, 4:15 a.m.