Triple
T2294682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamilla Cardoso |
E51583
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Kamilla
Kamilla is a Brazilian professional basketball player known for her standout collegiate career at Syracuse and South Carolina before entering the WNBA.
|
E253564
|
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: Kamilla | Statement: [Kamilla Cardoso, givenName, Kamilla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamilla Context triple: [Kamilla Cardoso, givenName, Kamilla]
-
A.
Althea
"Althea" is a beloved Grateful Dead song, known for its reflective lyrics, melodic guitar work, and enduring popularity in the band's live performances.
-
B.
Kaarina
Kaarina is a town and municipality in southwestern Finland, located near the city of Turku.
-
C.
Katherine
Katherine is a regional town in Australia's Northern Territory, known as a key service and transport hub near Nitmiluk (Katherine Gorge) National Park.
-
D.
Thea Holme
Thea Holme was a British actress and writer best known for her historical biographies and works on English domestic life.
-
E.
Hedvig
Hedvig is a Scandinavian female given name, historically borne by several notable women in Swedish and broader Nordic royalty and nobility.
- 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: Kamilla Triple: [Kamilla Cardoso, givenName, Kamilla]
Generated description
Kamilla is a Brazilian professional basketball player known for her standout collegiate career at Syracuse and South Carolina before entering the WNBA.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kamilla Target entity description: Kamilla is a Brazilian professional basketball player known for her standout collegiate career at Syracuse and South Carolina before entering the WNBA.
-
A.
Althea
"Althea" is a beloved Grateful Dead song, known for its reflective lyrics, melodic guitar work, and enduring popularity in the band's live performances.
-
B.
Kaarina
Kaarina is a town and municipality in southwestern Finland, located near the city of Turku.
-
C.
Katherine
Katherine is a regional town in Australia's Northern Territory, known as a key service and transport hub near Nitmiluk (Katherine Gorge) National Park.
-
D.
Thea Holme
Thea Holme was a British actress and writer best known for her historical biographies and works on English domestic life.
-
E.
Hedvig
Hedvig is a Scandinavian female given name, historically borne by several notable women in Swedish and broader Nordic royalty and nobility.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5da667881909186adf23a2bd45b |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f2654e4819090dea196cf38652e |
completed | March 9, 2026, 8:04 a.m. |
| NEDg | Description generation | batch_69ae7fd6e8608190b48f3a50ee62d664 |
completed | March 9, 2026, 8:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae804b402c81909a5fc68c6ee3decb |
completed | March 9, 2026, 8:09 a.m. |
Created at: March 4, 2026, 7:49 p.m.