Triple
T9101579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | «На дне» |
E218169
|
entity |
| Predicate | ключевой персонаж |
P9202
|
FINISHED |
| Object |
Сатин
Сатин — один из центральных персонажей пьесы Максима Горького «На дне», философствующий босяк, чьи циничные, но проникновенные монологи выражают ключевые идеи произведения о правде и человеческом достоинстве.
|
E778197
|
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: Сатин | Statement: [«На дне», ключевой персонаж, Сатин]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Сатин Context triple: [«На дне», ключевой персонаж, Сатин]
-
A.
Silk
Silk is a British legal drama television series centered on the personal and professional lives of barristers in London.
-
B.
Silk
Silk is a popular plant-based food and beverage brand known for its soy, almond, oat, and other non-dairy milk alternatives.
-
C.
Silk
Silk is an American R&B group best known for their smooth harmonies and 1990s slow jams like the hit single "Freak Me."
-
D.
Cotten
Cotten is a surname most notably associated with American actor Joseph Cotten, a prominent figure in classic Hollywood cinema.
-
E.
Silken Floss
Silken Floss is a stylish and enigmatic femme fatale and scientist who serves as one of the main villains in the 2008 superhero film "The Spirit."
- 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: Сатин Triple: [«На дне», ключевой персонаж, Сатин]
Generated description
Сатин — один из центральных персонажей пьесы Максима Горького «На дне», философствующий босяк, чьи циничные, но проникновенные монологи выражают ключевые идеи произведения о правде и человеческом достоинстве.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Сатин Target entity description: Сатин — один из центральных персонажей пьесы Максима Горького «На дне», философствующий босяк, чьи циничные, но проникновенные монологи выражают ключевые идеи произведения о правде и человеческом достоинстве.
-
A.
Silk
Silk is a British legal drama television series centered on the personal and professional lives of barristers in London.
-
B.
Silk
Silk is a popular plant-based food and beverage brand known for its soy, almond, oat, and other non-dairy milk alternatives.
-
C.
Silk
Silk is an American R&B group best known for their smooth harmonies and 1990s slow jams like the hit single "Freak Me."
-
D.
Cotten
Cotten is a surname most notably associated with American actor Joseph Cotten, a prominent figure in classic Hollywood cinema.
-
E.
Silken Floss
Silken Floss is a stylish and enigmatic femme fatale and scientist who serves as one of the main villains in the 2008 superhero film "The Spirit."
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc971435d08190b5007ed44ac0a364 |
completed | April 1, 2026, 3:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0182d8ea08190b4337a77b47019a5 |
completed | April 3, 2026, 7:42 p.m. |
| NEDg | Description generation | batch_69d019666cb08190b66298ff86a7e1af |
completed | April 3, 2026, 7:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d01a700ce48190868d445bde2462dc |
completed | April 3, 2026, 7:52 p.m. |
Created at: March 30, 2026, 7:15 p.m.