Triple
T13790726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill & Ted's Bogus Journey |
E331387
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Scott Kroopf |
E187149
|
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: Scott Kroopf | Statement: [Bill & Ted's Bogus Journey, producer, Scott Kroopf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Kroopf Context triple: [Bill & Ted's Bogus Journey, producer, Scott Kroopf]
-
A.
Scott Kroopf
chosen
Scott Kroopf is an American film producer known for his work on numerous Hollywood features, including the science-fiction adventure film "Zathura: A Space Adventure."
-
B.
Eric Pleskow
Eric Pleskow was an Austrian-born American film executive and producer best known for leading major studios and co-founding the influential independent film company Orion Pictures.
-
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.
David Krueger
David Krueger is an AI researcher and entrepreneur best known as a co-founder of the safety-focused artificial intelligence company Anthropic.
-
E.
Scott Ehrlich
Scott Ehrlich is a notable individual recognized for his contributions in his professional field, though specific widely known details about his work are not clearly established from the given information.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de024af32c8190a9bd1278e09564ba |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7cccd548190b9ec93f9d9d2f2af |
completed | May 9, 2026, 4:27 a.m. |
Created at: April 9, 2026, 10:11 p.m.