Triple

T15659579
Position Surface form Disambiguated ID Type / Status
Subject Chaim Grade E376534 entity
Predicate familyName P18 FINISHED
Object Grade
Grade is a surname most notably associated with Chaim Grade, a prominent Yiddish novelist and poet.
 E1170346 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: Grade | Statement: [Chaim Grade, familyName, Grade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grade
Context triple: [Chaim Grade, familyName, Grade]
  • A. Grado
    Grado is a coastal town and popular seaside resort in northeastern Italy, known for its historic center, beaches, and lagoon.
  • B. Ever Grade
    Ever Grade is a large container ship operated by Evergreen Marine and part of the same vessel class as the famously wedged Suez Canal ship Ever Given.
  • C. GR
    GR is the official two-letter abbreviation used to designate the Swiss canton of Graubünden.
  • D. GR
    GR is the standard abbreviation for Georgian Railway, the national rail transport company of Georgia.
  • E. GR
    GR is the ISO 3166-1 alpha-2 country code for Greece, a southeastern European nation known for its ancient history and numerous islands.
  • 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: Grade
Triple: [Chaim Grade, familyName, Grade]
Generated description
Grade is a surname most notably associated with Chaim Grade, a prominent Yiddish novelist and poet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Grade
Target entity description: Grade is a surname most notably associated with Chaim Grade, a prominent Yiddish novelist and poet.
  • A. Grado
    Grado is a coastal town and popular seaside resort in northeastern Italy, known for its historic center, beaches, and lagoon.
  • B. Ever Grade
    Ever Grade is a large container ship operated by Evergreen Marine and part of the same vessel class as the famously wedged Suez Canal ship Ever Given.
  • C. GR
    GR is the official two-letter abbreviation used to designate the Swiss canton of Graubünden.
  • D. GR
    GR is the standard abbreviation for Georgian Railway, the national rail transport company of Georgia.
  • E. GR
    GR is the ISO 3166-1 alpha-2 country code for Greece, a southeastern European nation known for its ancient history and numerous islands.
  • 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.