Triple
T6322458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maximilian Voloshin |
E141775
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object |
Koktebel
Koktebel is a coastal resort town in Crimea known for its scenic landscapes, literary and artistic heritage, and popular beaches along the Black Sea.
|
E585175
|
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: Koktebel | Statement: [Maximilian Voloshin, placeOfDeath, Koktebel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koktebel Context triple: [Maximilian Voloshin, placeOfDeath, Koktebel]
-
A.
Gelendzhik
Gelendzhik is a Black Sea resort city in southern Russia known for its beaches, scenic bay, and tourism infrastructure.
-
B.
Pavlograd
Pavlograd is a city in eastern Ukraine known historically as a regional industrial and transport center in the Dnipropetrovsk area.
-
C.
White Beach
White Beach is a small coastal beach in the town of Manchester-by-the-Sea, Massachusetts, known for its scenic shoreline and tranquil atmosphere.
-
D.
White Beach
White Beach is the famous main stretch of powdery white sand and clear turquoise water on the Philippine island of Boracay, known as one of the world’s top tropical beach destinations.
-
E.
Tskaltubo
Tskaltubo is a spa town in western Georgia renowned for its radon-carbonate mineral springs and Soviet-era sanatoriums.
- 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: Koktebel Triple: [Maximilian Voloshin, placeOfDeath, Koktebel]
Generated description
Koktebel is a coastal resort town in Crimea known for its scenic landscapes, literary and artistic heritage, and popular beaches along the Black Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koktebel Target entity description: Koktebel is a coastal resort town in Crimea known for its scenic landscapes, literary and artistic heritage, and popular beaches along the Black Sea.
-
A.
Gelendzhik
Gelendzhik is a Black Sea resort city in southern Russia known for its beaches, scenic bay, and tourism infrastructure.
-
B.
Pavlograd
Pavlograd is a city in eastern Ukraine known historically as a regional industrial and transport center in the Dnipropetrovsk area.
-
C.
White Beach
White Beach is a small coastal beach in the town of Manchester-by-the-Sea, Massachusetts, known for its scenic shoreline and tranquil atmosphere.
-
D.
White Beach
White Beach is the famous main stretch of powdery white sand and clear turquoise water on the Philippine island of Boracay, known as one of the world’s top tropical beach destinations.
-
E.
Tskaltubo
Tskaltubo is a spa town in western Georgia renowned for its radon-carbonate mineral springs and Soviet-era sanatoriums.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c76dfc8190a1d44fd0c4402a0e |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e48a8c5c819099f21fdff1ce43f3 |
completed | March 27, 2026, 1:59 a.m. |
| NEDg | Description generation | batch_69c5f8b0e0e48190896cc2abc6b26b89 |
completed | March 27, 2026, 3:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5f92a87148190b3c38f312a4901a4 |
completed | March 27, 2026, 3:27 a.m. |
Created at: March 22, 2026, 4:29 p.m.