Triple
T21467353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Joke |
E529625
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Kostka |
—
|
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: Kostka | Statement: [The Joke, character, Kostka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kostka Context triple: [The Joke, character, Kostka]
-
A.
Kostka
chosen
Kostka is a Polish surname most famously borne by Saint Stanislaus Kostka, a 16th-century Jesuit novice venerated in the Catholic Church.
-
B.
Kubek
Kubek is the surname of Tony Kubek, a former Major League Baseball shortstop and longtime television sportscaster best known for his years with the New York Yankees.
-
C.
De Kova
De Kova is a surname most notably associated with American character actor Frank De Kova, known for his roles in mid-20th-century film and television.
-
D.
Klötze
Klötze is a small town in the Altmark region of Saxony-Anhalt in central Germany.
-
E.
Krychaw
Krychaw is a town in eastern Belarus known as an industrial and transport center within the Mogilev Region.
- 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_69e0c459acb481909bb6ee452a0045c7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9f415d48190a2b0993a4f3c018f |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:14 p.m.