Triple

T15475871
Position Surface form Disambiguated ID Type / Status
Subject Joninės E376778 entity
Predicate music P2152 FINISHED
Object sutartinės
Sutartinės are traditional Lithuanian multipart folk songs characterized by their distinctive polyphonic harmonies and ritual, often communal, performance.
 E1159334 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: sutartinės | Statement: [Joninės, music, sutartinės]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: sutartinės
Context triple: [Joninės, music, sutartinės]
  • A. Sudeikis
    Sudeikis is the surname of American actor, comedian, and writer Jason Sudeikis, known for his work on Saturday Night Live and the series Ted Lasso.
  • B. Sarts
    Sarts were a historically significant sedentary, Turkic-speaking merchant and urban population of Central Asia, particularly associated with the cities and trade routes of Turkestan.
  • C. satsivi
    Satsivi is a traditional Georgian cold dish of poultry or vegetables served in a rich, spiced walnut sauce.
  • D. SUT
    SUT is the commonly used abbreviation for Sharif University of Technology, a leading science and engineering university in Iran.
  • E. SUT
    SUT is a public research university in Nakhon Ratchasima, Thailand, known for its strong emphasis on science, engineering, and technology education.
  • 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: sutartinės
Triple: [Joninės, music, sutartinės]
Generated description
Sutartinės are traditional Lithuanian multipart folk songs characterized by their distinctive polyphonic harmonies and ritual, often communal, performance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: sutartinės
Target entity description: Sutartinės are traditional Lithuanian multipart folk songs characterized by their distinctive polyphonic harmonies and ritual, often communal, performance.
  • A. Sudeikis
    Sudeikis is the surname of American actor, comedian, and writer Jason Sudeikis, known for his work on Saturday Night Live and the series Ted Lasso.
  • B. Sarts
    Sarts were a historically significant sedentary, Turkic-speaking merchant and urban population of Central Asia, particularly associated with the cities and trade routes of Turkestan.
  • C. satsivi
    Satsivi is a traditional Georgian cold dish of poultry or vegetables served in a rich, spiced walnut sauce.
  • D. SUT
    SUT is the commonly used abbreviation for Sharif University of Technology, a leading science and engineering university in Iran.
  • E. SUT
    SUT is the National Rail station code for Sutton Coldfield railway station in the West Midlands, England.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f88a5dc8190a2d7830748e29180 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d093ccc8190aefc355a837c83f4 completed May 9, 2026, 12:48 p.m.
NEDg Description generation batch_69ff3015ee2c8190ad2c28cd2850d903 completed May 9, 2026, 1:01 p.m.
NED2 Entity disambiguation (via description) batch_69ff30ed9a5481909cefad0ef877a2e9 completed May 9, 2026, 1:04 p.m.
Created at: April 10, 2026, 3:34 a.m.