Triple
T1415148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DreamWorks Pictures |
E31897
|
entity |
| Predicate | coFounder |
P2835
|
FINISHED |
| Object | Jeffrey Katzenberg |
E162865
|
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: Jeffrey Katzenberg | Statement: [DreamWorks Pictures, coFounder, Jeffrey Katzenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Katzenberg Context triple: [DreamWorks Pictures, coFounder, Jeffrey Katzenberg]
-
A.
Jeffrey Katzenberg
chosen
Jeffrey Katzenberg is an American film producer and media executive best known as a co-founder of DreamWorks and former chairman of Walt Disney Studios.
-
B.
Irwin Winkler
Irwin Winkler is an American film producer and director best known for producing the "Rocky" series and numerous other acclaimed Hollywood films.
-
C.
Saul Zaentz
Saul Zaentz was an American film producer and former record company executive best known for producing acclaimed films such as One Flew Over the Cuckoo’s Nest, Amadeus, and The English Patient.
-
D.
Thomas Grazer
Thomas Grazer is the son of acclaimed American film and television producer Brian Grazer.
-
E.
Arnon Milchan
Arnon Milchan is an Israeli film producer and businessman known for backing numerous major Hollywood films, including acclaimed hits like "L.A. Confidential."
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3e5f9d08190861206934cd71fd8 |
completed | March 1, 2026, 10:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08ae530081909695bde0d9c46d41 |
completed | March 8, 2026, 5:27 a.m. |
Created at: March 1, 2026, 7:59 p.m.