Triple

T25282371
Position Surface form Disambiguated ID Type / Status
Subject Thavil E633854 entity
Predicate usedInGenre P6829 FINISHED
Object Tamil folk music
Tamil folk music is a traditional musical style from the Tamil-speaking regions of India and Sri Lanka, characterized by its use of indigenous instruments, rhythmic dance songs, and performances tied to rural life, festivals, and rituals.
E1672752 NE FINISHED

How this triple was built (2 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: Tamil folk music | Statement: [Thavil, usedInGenre, Tamil folk music]
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: Tamil folk music
Triple: [Thavil, usedInGenre, Tamil folk music]
Generated description
Tamil folk music is a traditional musical style from the Tamil-speaking regions of India and Sri Lanka, characterized by its use of indigenous instruments, rhythmic dance songs, and performances tied to rural life, festivals, and rituals.

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_69e75a9402fc81909362ca85277c06d9 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f48e0560648190bb88db7255867d7f completed May 1, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1068032d9481909f5f274ed6fa1661 completed May 22, 2026, 2:28 p.m.
NEDg Description generation batch_6a106940a70c81909a15eb7e78b00f0a completed May 22, 2026, 2:33 p.m.
NED2 Entity disambiguation (via description) batch_6a106a510e208190894bcbb3d36b92dd completed May 22, 2026, 2:38 p.m.
Created at: April 21, 2026, 1:19 p.m.