Triple
T8661574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniela Melchior |
E205559
|
entity |
| Predicate | actedIn |
P1668
|
FINISHED |
| Object |
Ouro Verde
Ouro Verde is a Portuguese telenovela known for its dramatic storyline involving revenge, family secrets, and corporate intrigue.
|
E748987
|
NE FINISHED |
How this triple was built (4 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: [Daniela Melchior, actedIn, Ouro Verde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ouro Verde Context triple: [Daniela Melchior, actedIn, Ouro Verde]
-
A.
Panarima
Panarima is a musical track featured on the album "Legend of the Sun Virgin."
-
B.
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.
-
C.
Mauá
Mauá is an industrial and residential city located in the metropolitan region of São Paulo, Brazil.
-
D.
Caieiras
Caieiras is a municipality in the metropolitan region of São Paulo, Brazil, known for its industrial activity and surrounding green areas.
-
E.
Pirassununga
Pirassununga is a municipality in the state of São Paulo, Brazil, known for its agricultural activities and as a site of a major University of São Paulo campus.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ouro Verde Triple: [Daniela Melchior, actedIn, Ouro Verde]
Generated description
Ouro Verde is a Portuguese telenovela known for its dramatic storyline involving revenge, family secrets, and corporate intrigue.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ouro Verde Target entity description: Ouro Verde is a Portuguese telenovela known for its dramatic storyline involving revenge, family secrets, and corporate intrigue.
-
A.
Panarima
Panarima is a musical track featured on the album "Legend of the Sun Virgin."
-
B.
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.
-
C.
Mauá
Mauá is an industrial and residential city located in the metropolitan region of São Paulo, Brazil.
-
D.
Caieiras
Caieiras is a municipality in the metropolitan region of São Paulo, Brazil, known for its industrial activity and surrounding green areas.
-
E.
Pirassununga
Pirassununga is a municipality in the state of São Paulo, Brazil, known for its agricultural activities and as a site of a major University of São Paulo campus.
- F. None of above. chosen
Provenance (5 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc487147248190b5f1bff836a11e68 |
completed | March 31, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccfda1dc8190a3b93b1c7e813f33 |
completed | April 2, 2026, 8:09 p.m. |
| NEDg | Description generation | batch_69cece8d530081908f5a52d5d76bd414 |
completed | April 2, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecf7c66308190b9fb87bc0ab510a8 |
completed | April 2, 2026, 8:20 p.m. |
Created at: March 30, 2026, 6:30 p.m.