Triple
T18820678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Christmas Carol (2009 film) |
E460253
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jack Rapke |
—
|
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: Jack Rapke | Statement: [A Christmas Carol (2009 film), producer, Jack Rapke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Rapke Context triple: [A Christmas Carol (2009 film), producer, Jack Rapke]
-
A.
Jack Rapke
chosen
Jack Rapke is an American film producer known for his longtime collaboration with director Robert Zemeckis on major Hollywood films.
-
B.
Jim Krueger
Jim Krueger is an American comic book writer best known for his work on titles like "Earth X" and other Marvel and DC projects, often in collaboration with artist Alex Ross.
-
C.
John Eisendrath
John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
-
D.
Phil Wenneck
Phil Wenneck is a charismatic, fast-talking schoolteacher and member of the "Wolfpack" whose misadventures drive much of the comedy in The Hangover film series.
-
E.
Chris Kramer
Chris Kramer is an American professional basketball player known for his impactful play as a guard in European leagues, particularly in Germany.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6b9be988190b5e3804c39dc7dd9 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 10, 2026, 11:55 a.m.