Triple

T3650217
Position Surface form Disambiguated ID Type / Status
Subject Der Nister E77400 entity
Predicate notableWork P4 FINISHED
Object Fun mayne giter
Fun mayne giter is a Yiddish literary work by the modernist writer Der Nister, reflecting his characteristic blend of symbolism, mysticism, and introspective narrative.
 E376531 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: Fun mayne giter | Statement: [Der Nister, notableWork, Fun mayne giter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fun mayne giter
Context triple: [Der Nister, notableWork, Fun mayne giter]
  • A. Giez
    Giez is a small municipality in the canton of Vaud in western Switzerland, situated near the town of Grandson and close to Lake Neuchâtel.
  • B. Beery
    Beery is a surname most notably associated with the American acting family that includes character actor Noah Beery and his relatives.
  • C. Gladfest
    Gladfest is an annual community festival in Gladstone, Missouri, featuring family-friendly entertainment, food, and local vendors.
  • D. Gers
    Gers is a river in southwestern France that flows through the historical region of Gascony before joining the Garonne.
  • E. Geita
    Geita is a town in northwestern Tanzania that serves as an administrative and commercial center for the surrounding gold-mining region.
  • 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: Fun mayne giter
Triple: [Der Nister, notableWork, Fun mayne giter]
Generated description
Fun mayne giter is a Yiddish literary work by the modernist writer Der Nister, reflecting his characteristic blend of symbolism, mysticism, and introspective narrative.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fun mayne giter
Target entity description: Fun mayne giter is a Yiddish literary work by the modernist writer Der Nister, reflecting his characteristic blend of symbolism, mysticism, and introspective narrative.
  • A. Giez
    Giez is a small municipality in the canton of Vaud in western Switzerland, situated near the town of Grandson and close to Lake Neuchâtel.
  • B. Beery
    Beery is a surname most notably associated with the American acting family that includes character actor Noah Beery and his relatives.
  • C. Gladfest
    Gladfest is an annual community festival in Gladstone, Missouri, featuring family-friendly entertainment, food, and local vendors.
  • D. Gers
    Gers is a river in southwestern France that flows through the historical region of Gascony before joining the Garonne.
  • E. Geita
    Geita is a town in northwestern Tanzania that serves as an administrative and commercial center for the surrounding gold-mining region.
  • 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc38fa1988190b630329700afc3dd completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f4002948190af41072962006f51 completed March 13, 2026, 5:54 p.m.
NEDg Description generation batch_69b4531590408190b6048b6b0335eb0a completed March 13, 2026, 6:10 p.m.
NED2 Entity disambiguation (via description) batch_69b466719c788190a70d8338b45c28ab completed March 13, 2026, 7:33 p.m.
Created at: March 8, 2026, 3:24 p.m.