Triple
T6814204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Boy |
E156711
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Robert K. Weiss |
E332323
|
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: Robert K. Weiss | Statement: [Tommy Boy, producer, Robert K. Weiss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert K. Weiss Context triple: [Tommy Boy, producer, Robert K. Weiss]
-
A.
Robert K. Weiss
chosen
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.
-
B.
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.
-
C.
John Weiss
John Weiss is a relatively obscure individual whose specific notability is not clearly established from the given information.
-
D.
Robert M. Weitman
Robert M. Weitman was an American film producer active in mid-20th-century Hollywood, known for overseeing a range of studio features and genre films.
-
E.
Robert G. Goldstein
Robert G. Goldstein is an American business executive best known as the chief executive officer and a leading figure of the global casino and resort company Las Vegas Sands.
- 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_69c68828b26c819090fe9df7612bbc27 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d32b012481909b73784899ec2a0d |
completed | March 27, 2026, 6:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9251db3388190b8b0ac7549647887 |
completed | March 29, 2026, 1:11 p.m. |
Created at: March 27, 2026, 2:17 p.m.