Triple
T10750724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamilla Cardoso |
E253564
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kamilla |
E253564
|
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: 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.
Kamilla
chosen
Kamilla is a Brazilian professional basketball player known for her standout collegiate career at Syracuse and South Carolina before entering the WNBA.
-
B.
Cecilie
Cecilie is a feminine given name, commonly used in Scandinavian countries, that is a variant of the name Cecilia.
-
C.
Kimila
Kimila is the birth name of American actress and former fashion model Kim Basinger, known for her roles in films such as "L.A. Confidential" and "Batman."
-
D.
Marlies
Marlies is the common nickname for the Toronto Marlboros, a historic Canadian junior ice hockey team based in Toronto.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dbfe5f481908eed42328447b158 |
completed | April 9, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de23292f8c8190a52c94c03e7d476d |
completed | April 14, 2026, 11:21 a.m. |
Created at: April 8, 2026, 9:15 p.m.