Triple
T16377526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mensagem |
E397713
|
entity |
| Predicate | dedicatedTo |
P500
|
FINISHED |
| Object | António Ferro |
E1217438
|
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: António Ferro | Statement: [Mensagem, dedicatedTo, António Ferro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: António Ferro Context triple: [Mensagem, dedicatedTo, António Ferro]
-
A.
António Ferro
chosen
António Ferro was a prominent Portuguese writer, journalist, and cultural politician associated with the modernist movement and later known for shaping the Estado Novo regime’s cultural propaganda.
-
B.
António Menano
António Menano was a renowned early 20th-century Portuguese singer celebrated as one of the most iconic voices of Coimbra fado.
-
C.
António Gonçalves
António Gonçalves was a Portuguese publisher known for issuing editions of Luís de Camões’ epic poem "Os Lusíadas."
-
D.
João da Ega
João da Ega is a sharp-tongued, bohemian intellectual and one of the most memorable satirical figures in Eça de Queirós’s novel "Os Maias."
-
E.
Antônio Pinto
Antônio Pinto is a Brazilian film composer known for his evocative scores for international films such as "City of God," "Central Station," and various Hollywood 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319d8a40c8190af37e7ed60b9c4dd |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ecdffac81908ca03a88974203f9 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:08 a.m.