Triple
T15682109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caddyshack II |
E377602
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | David N. Weiss |
—
|
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: David N. Weiss | Statement: [Caddyshack II, screenwriter, David N. Weiss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David N. Weiss Context triple: [Caddyshack II, screenwriter, David N. Weiss]
-
A.
David N. Weiss
chosen
David N. Weiss is an American screenwriter best known for co-writing popular family and animated films such as "Shrek 2" and "The Smurfs."
-
B.
David C. Weiss
David C. Weiss is an American attorney who serves as a U.S. Special Counsel and has been a key federal prosecutor in high-profile political and financial investigations.
-
C.
David Z. Weinstein
David Z. Weinstein is a screenwriter best known for co-writing the cult classic fantasy–action film "Big Trouble in Little China."
-
D.
Robert K. Weiss
Robert K. Weiss is an American film and television producer best known for his work on comedy projects such as "The Naked Gun" series and collaborations with the Zucker brothers.
-
E.
Daniel H. Weiss
Daniel H. Weiss is an American art historian and academic leader who served as president and CEO of New York’s Metropolitan Museum of Art.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f306a1c8190a819541a3cc51f5a |
completed | April 16, 2026, 2:53 a.m. |
Created at: April 10, 2026, 4:16 a.m.