Triple
T15847223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimya Dawson |
E384244
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Kimya
Kimya is an American singer-songwriter best known for her anti-folk music and contributions to the "Juno" film soundtrack.
|
E1179950
|
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: Kimya | Statement: [Kimya Dawson, givenName, Kimya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kimya Context triple: [Kimya Dawson, givenName, Kimya]
-
A.
Chemal
Chemal is a village and popular tourist destination in Russia’s Altai Republic, known for its scenic mountain landscapes along the Katun River and outdoor recreation opportunities.
-
B.
Chamical
Chamical is a small city in central La Rioja Province, Argentina, known historically as a regional railway and agricultural center.
-
C.
Kedichem
Kedichem is a small village in the Dutch province of Utrecht, known for its rural character and historic riverside setting along the Linge.
-
D.
Khemisti
Khemisti is a town and commune located within Algeria’s Tipaza Province, known for its position along the country’s northern coastal region.
-
E.
Chemici
Chemici is the nickname of the Czech ice hockey club HC Litvínov, reflecting the town’s strong chemical industry heritage.
- 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: Kimya Triple: [Kimya Dawson, givenName, Kimya]
Generated description
Kimya is an American singer-songwriter best known for her anti-folk music and contributions to the "Juno" film soundtrack.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kimya Target entity description: Kimya is an American singer-songwriter best known for her anti-folk music and contributions to the "Juno" film soundtrack.
-
A.
Chemal
Chemal is a village and popular tourist destination in Russia’s Altai Republic, known for its scenic mountain landscapes along the Katun River and outdoor recreation opportunities.
-
B.
Chamical
Chamical is a small city in central La Rioja Province, Argentina, known historically as a regional railway and agricultural center.
-
C.
Kedichem
Kedichem is a small village in the Dutch province of Utrecht, known for its rural character and historic riverside setting along the Linge.
-
D.
Khemisti
Khemisti is a town and commune located within Algeria’s Tipaza Province, known for its position along the country’s northern coastal region.
-
E.
Chemici
Chemici is the nickname of the Czech ice hockey club HC Litvínov, reflecting the town’s strong chemical industry heritage.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14ca7c8f08190abe21cbb0c390f95 |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa143dcb48190951648edeae6542d |
completed | May 9, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_69ffa419c6dc81908c9678f8434530f8 |
completed | May 9, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa4cff5088190a7f11fd62941f4fb |
completed | May 9, 2026, 9:19 p.m. |
Created at: April 10, 2026, 4:50 a.m.