Triple
T14805687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linha de Passe |
E348028
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
George Moura
George Moura is a Brazilian screenwriter known for his work on acclaimed films and television series.
|
E1132652
|
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: George Moura | Statement: [Linha de Passe, screenwriter, George Moura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Moura Context triple: [Linha de Passe, screenwriter, George Moura]
-
A.
Jorge Moreira
Jorge Moreira is a Brazilian architect and artist recognized as a distinguished graduate of the Escola Nacional de Belas Artes.
-
B.
Craig Viveiros
Craig Viveiros is a British television and film director known for his work on high-profile dramas and literary adaptations, including the 2015 miniseries "And Then There Were None."
-
C.
Carlos Nunes
Carlos Nunes is a Portuguese professional footballer known for playing as a defender in European club competitions.
-
D.
Alexandre Ribeiro
Alexandre Ribeiro is the son of Brazilian supermodel Lais Ribeiro.
-
E.
Oscar Cardoso
Oscar Cardoso is a Paraguayan professional footballer known as a prolific left-footed striker who has played for clubs such as Benfica and the Paraguay national team.
- 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: George Moura Triple: [Linha de Passe, screenwriter, George Moura]
Generated description
George Moura is a Brazilian screenwriter known for his work on acclaimed films and television series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Moura Target entity description: George Moura is a Brazilian screenwriter known for his work on acclaimed films and television series.
-
A.
Jorge Moreira
Jorge Moreira is a Brazilian architect and artist recognized as a distinguished graduate of the Escola Nacional de Belas Artes.
-
B.
Craig Viveiros
Craig Viveiros is a British television and film director known for his work on high-profile dramas and literary adaptations, including the 2015 miniseries "And Then There Were None."
-
C.
Carlos Nunes
Carlos Nunes is a Portuguese professional footballer known for playing as a defender in European club competitions.
-
D.
Alexandre Ribeiro
Alexandre Ribeiro is the son of Brazilian supermodel Lais Ribeiro.
-
E.
Oscar Cardoso
Oscar Cardoso is a Paraguayan professional footballer known as a prolific left-footed striker who has played for clubs such as Benfica and the Paraguay national team.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf32666081908e84f985c47eb963 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dbced588190ab7712c7ad50ee67 |
completed | May 9, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fe9e22453481909511619da9e319d5 |
completed | May 9, 2026, 2:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9e610f788190bc33d8b8d7d718a2 |
completed | May 9, 2026, 2:39 a.m. |
Created at: April 10, 2026, 1:34 a.m.