Triple
T10007465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waitress (musical) |
E198288
|
entity |
| Predicate | setDesigner |
P184
|
FINISHED |
| Object | Scott Pask |
E389901
|
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 Pask | Statement: [Waitress (musical), setDesigner, Scott Pask]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Pask Context triple: [Waitress (musical), setDesigner, Scott Pask]
-
A.
Scott Pask
chosen
Scott Pask is a Tony Award–winning American scenic designer known for his innovative and visually striking sets for major Broadway productions.
-
B.
Mike Paseornek
Mike Paseornek is an American film executive and producer known for his work on genre films, including the 3D horror remake "My Bloody Valentine 3D."
-
C.
Scott Pascucci
Scott Pascucci is a film and music executive and producer known for his work on major music documentaries, including projects related to The Beatles.
-
D.
Scott Crago
Scott Crago is an American drummer and percussionist best known for his long-time work as a touring and session musician with the Eagles and numerous other rock and country artists.
-
E.
Kirk DeMicco
Kirk DeMicco is an American screenwriter and film director best known for his work on animated features such as "The Croods."
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd187fe481908556ea896c528ea4 |
completed | April 2, 2026, 1:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d28209678c8190898d923753bb4472 |
completed | April 5, 2026, 3:38 p.m. |
Created at: March 30, 2026, 8:52 p.m.