Triple
T14805684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linha de Passe |
E348028
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Daniela Thomas |
E1083256
|
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: Daniela Thomas | Statement: [Linha de Passe, director, Daniela Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniela Thomas Context triple: [Linha de Passe, director, Daniela Thomas]
-
A.
Daniela Thomas
chosen
Daniela Thomas is a Brazilian filmmaker, screenwriter, and theater director known for her collaborations with Walter Salles and her work on critically acclaimed films such as "Foreign Land" and "Linha de Passe."
-
B.
Danielle Thomas
Danielle Thomas was the second wife of bestselling adventure novelist Wilbur Smith, remembered for her influence on his personal life and writing career.
-
C.
Mimi Thompson
Mimi Thompson is the wife of American pop artist James Rosenquist.
-
D.
Sara Thomas
Sara Thomas is the protagonist of the romantic comedy film "Serendipity," whose chance encounter and enduring belief in fate drive the story's exploration of love and destiny.
-
E.
Andrea Thompson
Andrea Thompson is an American actress best known for her television roles on series such as "NYPD Blue" and "Babylon 5."
- 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_69fe6b47389c8190ab0a46e3b4653a2a |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:34 a.m.