Triple
T19666844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay Farrar |
E472220
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Varnaline
Varnaline is an American indie rock band known for its moody, lo-fi sound and association with the alt-country and indie scenes of the 1990s.
|
E1388968
|
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: Varnaline | Statement: [Jay Farrar, associatedAct, Varnaline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varnaline Context triple: [Jay Farrar, associatedAct, Varnaline]
-
A.
Varkaus
Varkaus is a small industrial town and municipality in the Northern Savonia region of eastern Finland, known for its paper and wood-processing industries.
-
B.
Calvatone
Calvatone is a small municipality in the Lombardy region of northern Italy, known for its rural landscape and proximity to the Oglio River.
-
C.
Velvetina
Velvetina is a 2005 studio album by Spanish pop singer Miguel Bosé that blends electronic, pop, and lounge influences with a multimedia visual concept.
-
D.
Vitasta
Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
-
E.
Vahka
Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
- 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: Varnaline Triple: [Jay Farrar, associatedAct, Varnaline]
Generated description
Varnaline is an American indie rock band known for its moody, lo-fi sound and association with the alt-country and indie scenes of the 1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Varnaline Target entity description: Varnaline is an American indie rock band known for its moody, lo-fi sound and association with the alt-country and indie scenes of the 1990s.
-
A.
Varkaus
Varkaus is a small industrial town and municipality in the Northern Savonia region of eastern Finland, known for its paper and wood-processing industries.
-
B.
Calvatone
Calvatone is a small municipality in the Lombardy region of northern Italy, known for its rural landscape and proximity to the Oglio River.
-
C.
Velvetina
Velvetina is a 2005 studio album by Spanish pop singer Miguel Bosé that blends electronic, pop, and lounge influences with a multimedia visual concept.
-
D.
Vitasta
Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
-
E.
Vahka
Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641694e448190bc734c07ae2df024 |
completed | April 20, 2026, 3:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0787ba7fa88190940083085ded9f81 |
completed | May 15, 2026, 8:53 p.m. |
| NEDg | Description generation | batch_6a0788c801588190bd4b9953a68f45de |
completed | May 15, 2026, 8:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a078939b6348190a137bc39c42b5953 |
completed | May 15, 2026, 8:59 p.m. |
Created at: April 10, 2026, 1:45 p.m.