Triple
T23404679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karla (2006 film) |
E559601
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Karla |
—
|
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: Karla | Statement: [Karla (2006 film), title, Karla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karla Context triple: [Karla (2006 film), title, Karla]
-
A.
Karla
Karla is a village located in Rae Parish in northern Estonia.
-
B.
Karla
Karla is the elusive Soviet spymaster and primary antagonist of John le Carré’s George Smiley novels, symbolizing the Cold War espionage rivalry between British intelligence and the KGB.
-
C.
Karla
Karla is a villainous mastermind character who serves as the primary antagonist opposing the bumbling spy Johnny English in the comedy film series.
-
D.
Karla
chosen
Karla is a 2006 crime drama film in which Misha Collins portrays serial killer Paul Bernardo.
-
E.
Marlen
Marlen is a village district of the town of Kehl in the German state of Baden-Württemberg.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4e27db88190b37375b38073291c |
completed | April 29, 2026, 6:27 a.m. |
Created at: April 17, 2026, 5:37 p.m.