Triple
T14805713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linha de Passe |
E348028
|
entity |
| Predicate | portraysCharacter |
P1668
|
FINISHED |
| Object | Cleuza |
E1121317
|
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: Cleuza | Statement: [Linha de Passe, portraysCharacter, Cleuza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cleuza Context triple: [Linha de Passe, portraysCharacter, Cleuza]
-
A.
Cleuza
chosen
Cleuza is a central character in the Brazilian film "Linha de Passe," portrayed as a struggling single mother raising her sons in the outskirts of São Paulo.
-
B.
Crateús
Crateús is a municipality in the interior of the Brazilian state of Ceará, known as a regional commercial and service hub.
-
C.
Ansião
Ansião is a municipality in central Portugal known for its rural landscapes, historical churches, and traditional Portuguese architecture.
-
D.
Jubiabá
Jubiabá is a novel by Brazilian writer Jorge Amado that portrays Afro-Brazilian culture, social injustice, and popular resistance in Salvador, Bahia.
-
E.
Melaque
Melaque is a coastal town in Jalisco, Mexico, known for its relaxed beach atmosphere, tourism, and role as a popular vacation spot on the Pacific coast.
- 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_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_69fe3893c760819094ce1d63478a39ce |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:34 a.m.