Triple
T22871753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memórias Sentimentais de João Miramar |
E567213
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | João Miramar |
E1577348
|
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: João Miramar | Statement: [Memórias Sentimentais de João Miramar, hasCharacter, João Miramar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: João Miramar Context triple: [Memórias Sentimentais de João Miramar, hasCharacter, João Miramar]
-
A.
João Miramar
chosen
João Miramar is the fictional protagonist of Oswald de Andrade’s modernist novel "Memórias Sentimentais de João Miramar," known for its experimental, fragmented narrative style.
-
B.
João Baldasserini
João Baldasserini is a Brazilian actor known for his work in film, television, and theater.
-
C.
João Vieira
João Vieira is a small island in Guinea-Bissau’s Bijagós Archipelago, known for its protected marine and coastal ecosystems.
-
D.
João Dias
João Dias is a small municipality located in the Central Potiguar region of the state of Rio Grande do Norte in northeastern Brazil.
-
E.
Machado Santos
Machado Santos was a prominent Portuguese naval officer and republican revolutionary best known for his key role in overthrowing the monarchy during the 5 October 1910 Revolution.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f05c688819097ba3d24ea8e52f5 |
completed | April 29, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4c61565481909273f6e7034c7dd2 |
completed | May 19, 2026, 11:41 a.m. |
Created at: April 17, 2026, 3:38 p.m.