Triple
T18364461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diogo Morgado |
E440001
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Ouro Verde |
—
|
NE NERFINISHED |
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: Ouro Verde | Statement: [Diogo Morgado, notableWork, Ouro Verde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ouro Verde Context triple: [Diogo Morgado, notableWork, Ouro Verde]
-
A.
Ouro Verde
chosen
Ouro Verde is a Portuguese telenovela known for its dramatic storyline involving revenge, family secrets, and corporate intrigue.
-
B.
Panarima
Panarima is a musical track featured on the album "Legend of the Sun Virgin."
-
C.
Arujá
Arujá is a municipality in the state of São Paulo, Brazil, known for its green areas and residential character within the Greater São Paulo region.
-
D.
Parangolé
Parangolé is a series of wearable, participatory artworks by Brazilian artist Hélio Oiticica that merge sculpture, performance, and viewer interaction to challenge traditional notions of art and spectatorship.
-
E.
Mauá
Mauá is an industrial and residential city located in the metropolitan region of São Paulo, Brazil.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516de778c8190a75335ced4e1f834 |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 10, 2026, 10:37 a.m.