Triple
T15681944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judge Elihu Smails |
E377598
|
entity |
| Predicate | conflictsWith |
P4897
|
FINISHED |
| Object | Al Czervik |
E380549
|
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: Al Czervik | Statement: [Judge Elihu Smails, conflictsWith, Al Czervik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Czervik Context triple: [Judge Elihu Smails, conflictsWith, Al Czervik]
-
A.
Al Czervik
chosen
Al Czervik is a loud, flamboyant, and wealthy real-estate developer whose outrageous antics provide much of the comic chaos in the film "Caddyshack."
-
B.
Denis Kosiak
Denis Kosiak is a music producer best known for his work on the project American Teen.
-
C.
Peter Gvozdas
Peter Gvozdas is a film editor known for his work on the movie "The Babysitter."
-
D.
Victor Kubicek
Victor Kubicek is a film producer best known for co-producing the science fiction action movie "Terminator Salvation."
-
E.
Stefan Czapsky
Stefan Czapsky is an American cinematographer best known for his visually distinctive work on films such as Tim Burton’s "Edward Scissorhands" and "Batman Returns."
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f306a1c8190a819541a3cc51f5a |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff756da91c81908d73a081f51edebd |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:16 a.m.