Triple
T22223601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lady and Her Music |
E549275
|
entity |
| Predicate | choreographer |
P11856
|
FINISHED |
| Object | Arthur Faria |
—
|
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: Arthur Faria | Statement: [The Lady and Her Music, choreographer, Arthur Faria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Faria Context triple: [The Lady and Her Music, choreographer, Arthur Faria]
-
A.
Arthur Faria
chosen
Arthur Faria is a theater director best known for his work on stage productions such as the musical revue "The Lady and Her Music."
-
B.
David Ferreira
David Ferreira is a Colombian attacking midfielder best known in MLS for his playmaking role with FC Dallas, where he earned league MVP honors.
-
C.
George Moura
George Moura is a Brazilian screenwriter known for his work on acclaimed films and television series.
-
D.
Edgar Cardoso
Edgar Cardoso was a prominent Portuguese civil engineer renowned for his innovative bridge designs and pioneering work in structural engineering in the 20th century.
-
E.
Carlos Morais
Carlos Morais is an Angolan professional basketball player known as one of Africa’s leading scorers and a key figure for the Angolan national team.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b92b79c8190a8a4d33591abd763 |
completed | April 28, 2026, 9:50 p.m. |
Created at: April 16, 2026, 8:37 p.m.