Triple

T16669247
Position Surface form Disambiguated ID Type / Status
Subject Abesalom da Eteri E405062 entity
Predicate mainCharacter P1183 FINISHED
Object Murman
Murman is the tragic male protagonist of the Georgian romantic opera "Abesalom da Eteri," whose doomed love and rivalry drive the central drama of the story.
 E1227788 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: Murman | Statement: [Abesalom da Eteri, mainCharacter, Murman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Murman
Context triple: [Abesalom da Eteri, mainCharacter, Murman]
  • A. Kholmsk
    Kholmsk is a port town on the western coast of Sakhalin Island in Russia, serving as an important maritime transport hub in the Sea of Japan.
  • B. Severodvinsk
    Severodvinsk is a Russian port city on the White Sea, known as a major center for the construction and maintenance of nuclear submarines.
  • C. Tuapse
    Tuapse is a Black Sea port town in southern Russia known as a seaside resort and industrial center within Krasnodar Krai.
  • D. Krasnoufimsk
    Krasnoufimsk is a small historic town in Russia’s Ural region, known for its traditional architecture and role as a local administrative and cultural center.
  • E. Dinaburg
    Dinaburg is the historical name of the Latvian city now known as Daugavpils, an important cultural and economic center in the Latgale 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: Murman
Triple: [Abesalom da Eteri, mainCharacter, Murman]
Generated description
Murman is the tragic male protagonist of the Georgian romantic opera "Abesalom da Eteri," whose doomed love and rivalry drive the central drama of the story.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Murman
Target entity description: Murman is the tragic male protagonist of the Georgian romantic opera "Abesalom da Eteri," whose doomed love and rivalry drive the central drama of the story.
  • A. Kholmsk
    Kholmsk is a port town on the western coast of Sakhalin Island in Russia, serving as an important maritime transport hub in the Sea of Japan.
  • B. Severodvinsk
    Severodvinsk is a Russian port city on the White Sea, known as a major center for the construction and maintenance of nuclear submarines.
  • C. Tuapse
    Tuapse is a Black Sea port town in southern Russia known as a seaside resort and industrial center within Krasnodar Krai.
  • D. Krasnoufimsk
    Krasnoufimsk is a small historic town in Russia’s Ural region, known for its traditional architecture and role as a local administrative and cultural center.
  • E. Dinaburg
    Dinaburg is the historical name of the Latvian city now known as Daugavpils, an important cultural and economic center in the Latgale 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37c9fa3d081909457b1bdea1d96e0 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a34852c81908c00ff8e36923cee completed May 10, 2026, 1:37 p.m.
NEDg Description generation batch_6a008abfcb4481908efb8a1cb3c0086e completed May 10, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_6a008b55b28c8190bb2d63c7fe0db2cc completed May 10, 2026, 1:42 p.m.
Created at: April 10, 2026, 5:18 a.m.