Triple
T14759336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Return to Oz |
E346814
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Paul Maslansky |
E876868
|
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: Paul Maslansky | Statement: [Return to Oz, producer, Paul Maslansky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Maslansky Context triple: [Return to Oz, producer, Paul Maslansky]
-
A.
Paul Maslansky
chosen
Paul Maslansky is an American film producer best known for creating and producing the "Police Academy" comedy film series.
-
B.
Richard Slansky
Richard Slansky was a theoretical physicist known for his work in particle physics and as one of the founders of the Santa Fe Institute, a leading center for complex systems research.
-
C.
Walter Slezak
Walter Slezak was an Austrian-born character actor known for his versatile roles in Hollywood films and on Broadway, often portraying charming villains or comic foils.
-
D.
Martin Pasko
Martin Pasko was an American comic book and television writer best known for his work on DC Comics characters, particularly Superman and Batman, and for contributing to various animated series.
-
E.
Victor Slezak
Victor Slezak is an American actor known for his work in film, television, and theater, including roles in dramas such as "The Bridges of Madison County."
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f0f5a48190af008352c26574d7 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe388aeb9c819099a987a819959479 |
completed | May 8, 2026, 7:24 p.m. |
Created at: April 10, 2026, 1:30 a.m.