Triple
T6976362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camila Cabello |
E161725
|
entity |
| Predicate | debutStudioAlbum |
P3278
|
FINISHED |
| Object | Camila |
E633823
|
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: Camila | Statement: [Camila Cabello, debutStudioAlbum, Camila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camila Context triple: [Camila Cabello, debutStudioAlbum, Camila]
-
A.
Camila
chosen
Camila is the given name of Cuban-American singer and songwriter Camila Cabello, known for hits like "Havana" and "Señorita."
-
B.
Lupita
Lupita is the given name of Lupita Nyong'o, the Kenyan-Mexican actress acclaimed for her roles in films such as "12 Years a Slave" and "Black Panther."
-
C.
Camila Alves
Camila Alves is a Brazilian-American model, designer, and television host known for her fashion ventures and marriage to actor Matthew McConaughey.
-
D.
Cristina
Cristina is one of the two free-spirited American women at the center of Woody Allen’s romantic drama film "Vicky Cristina Barcelona."
-
E.
Cristina
Cristina is the wife of Brazilian basketball legend Oscar Schmidt.
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db677bbc8190a084b6951e5c3182 |
completed | March 27, 2026, 7:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a0ad57c81909aec9f619dc68bd7 |
completed | March 28, 2026, 5:41 a.m. |
Created at: March 27, 2026, 2:31 p.m.