Triple
T15029080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artur Paredes |
E378293
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Artur Paredes |
E378293
|
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: Artur Paredes | Statement: [Artur Paredes, name, Artur Paredes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Artur Paredes Context triple: [Artur Paredes, name, Artur Paredes]
-
A.
Artur Paredes
chosen
Artur Paredes was a seminal Portuguese guitarist and composer who modernized the Coimbra style of fado and influenced generations of fado musicians.
-
B.
Patrick Adiarte
Patrick Adiarte is a Filipino-American actor and dancer best known for his roles in classic film musicals such as "The King and I" and "Flower Drum Song."
-
C.
Pablo Carrasco
Pablo Carrasco is a notable individual recognized for achievements significant enough to be associated with the surname Carrasco.
-
D.
Sergio De La Pava
Sergio De La Pava is an American novelist and public defender best known for his ambitious, genre-blending debut novel "A Naked Singularity."
-
E.
Andrés Almeida
Andrés Almeida is a Mexican actor known for his work in film and television, including roles in acclaimed Spanish-language productions.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e0e8c88190ac6f5786b4d4040f |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb590b5cc8190b5f586e0fd2988f6 |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 2:58 a.m.