Triple

T15894660
Position Surface form Disambiguated ID Type / Status
Subject Faina Ranevskaya E385421 entity
Predicate notableWork P4 FINISHED
Object Podkidysh
Podkidysh is a 1939 Soviet comedy film, best known for featuring the acclaimed actress Faina Ranevskaya in one of her most memorable screen roles.
 E1182850 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: Podkidysh | Statement: [Faina Ranevskaya, notableWork, Podkidysh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Podkidysh
Context triple: [Faina Ranevskaya, notableWork, Podkidysh]
  • A. Noznisky
    Noznisky is a relatively uncommon family surname associated with individuals such as Shirley Marlin Noznisky.
  • B. Fedka
    Fedka is a Russian diminutive form of the male given name Fyodor.
  • C. Pikhuchak
    Pikhuchak is a traditional festival celebrated by the Lotha Naga community of Nagaland, India, reflecting their indigenous customs and cultural heritage.
  • D. Kotputli
    Kotputli is a town in the Indian state of Rajasthan that serves as an important commercial and transport hub between Jaipur and Delhi.
  • E. Chopok
    Chopok is a prominent mountain peak in central Slovakia’s Low Tatras range, popular for hiking, skiing, and panoramic alpine views.
  • 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: Podkidysh
Triple: [Faina Ranevskaya, notableWork, Podkidysh]
Generated description
Podkidysh is a 1939 Soviet comedy film, best known for featuring the acclaimed actress Faina Ranevskaya in one of her most memorable screen roles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Podkidysh
Target entity description: Podkidysh is a 1939 Soviet comedy film, best known for featuring the acclaimed actress Faina Ranevskaya in one of her most memorable screen roles.
  • A. Noznisky
    Noznisky is a relatively uncommon family surname associated with individuals such as Shirley Marlin Noznisky.
  • B. Fedka
    Fedka is a Russian diminutive form of the male given name Fyodor.
  • C. Pikhuchak
    Pikhuchak is a traditional festival celebrated by the Lotha Naga community of Nagaland, India, reflecting their indigenous customs and cultural heritage.
  • D. Kotputli
    Kotputli is a town in the Indian state of Rajasthan that serves as an important commercial and transport hub between Jaipur and Delhi.
  • E. Chopok
    Chopok is a prominent mountain peak in central Slovakia’s Low Tatras range, popular for hiking, skiing, and panoramic alpine views.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563809748190a54156b946d3f061 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04b55ec8190a5b3513b2afa4f83 completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb13fdb6c819091c3ee5c1f199031 completed May 9, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69ffb208aef881909b3a00e0015c27df completed May 9, 2026, 10:15 p.m.
Created at: April 10, 2026, 4:51 a.m.