Triple
T9240261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teatralnaya |
E222038
|
entity |
| Predicate | designedBy |
P184
|
FINISHED |
| Object |
S. G. Kravets
S. G. Kravets was an architect known for designing the Teatralnaya metro station in Moscow.
|
E787045
|
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: S. G. Kravets | Statement: [Teatralnaya, designedBy, S. G. Kravets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S. G. Kravets Context triple: [Teatralnaya, designedBy, S. G. Kravets]
-
A.
Morris Stoloff
Morris Stoloff was an American musical director, conductor, and composer best known for his work on numerous Hollywood film scores during the mid-20th century.
-
B.
Harold K. Guinzburg
Harold K. Guinzburg was an American publisher best known as a co-founder and early leader of the influential publishing house Viking Press.
-
C.
Rostislav Goldstein
Rostislav Goldstein is a Russian politician who serves as the governor of the Jewish Autonomous Oblast in Russia’s Far East.
-
D.
Lev Kerbel
Lev Kerbel was a prominent Soviet sculptor renowned for his monumental public works and statues of communist leaders.
-
E.
Eddie Gorodetsky
Eddie Gorodetsky is an American television writer and producer known for his work on popular sitcoms such as "Two and a Half Men," "The Big Bang Theory," and "Mom."
- 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: S. G. Kravets Triple: [Teatralnaya, designedBy, S. G. Kravets]
Generated description
S. G. Kravets was an architect known for designing the Teatralnaya metro station in Moscow.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: S. G. Kravets Target entity description: S. G. Kravets was an architect known for designing the Teatralnaya metro station in Moscow.
-
A.
Morris Stoloff
Morris Stoloff was an American musical director, conductor, and composer best known for his work on numerous Hollywood film scores during the mid-20th century.
-
B.
Harold K. Guinzburg
Harold K. Guinzburg was an American publisher best known as a co-founder and early leader of the influential publishing house Viking Press.
-
C.
Rostislav Goldstein
Rostislav Goldstein is a Russian politician who serves as the governor of the Jewish Autonomous Oblast in Russia’s Far East.
-
D.
Lev Kerbel
Lev Kerbel was a prominent Soviet sculptor renowned for his monumental public works and statues of communist leaders.
-
E.
Eddie Gorodetsky
Eddie Gorodetsky is an American television writer and producer known for his work on popular sitcoms such as "Two and a Half Men," "The Big Bang Theory," and "Mom."
- 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_69ca83ee26cc81909ac624e190597d6d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccf0a3888c8190b72d8d0b850bdfbc |
completed | April 1, 2026, 10:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077db03048190b9c1f0812da21733 |
completed | April 4, 2026, 2:30 a.m. |
| NEDg | Description generation | batch_69d07dc19c2881909f095db0659f54db |
completed | April 4, 2026, 2:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d07e0ff9188190ba4b9c4ad17d37f5 |
completed | April 4, 2026, 2:57 a.m. |
Created at: March 30, 2026, 7:30 p.m.