Triple
T10633675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Baumgarten |
E250522
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | 30 Minutes or Less |
E742325
|
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: 30 Minutes or Less | Statement: [Alan Baumgarten, notableWork, 30 Minutes or Less]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 30 Minutes or Less Context triple: [Alan Baumgarten, notableWork, 30 Minutes or Less]
-
A.
30 Minutes or Less
chosen
30 Minutes or Less is a 2011 action-comedy film about a pizza delivery driver forced into a bank robbery plot after criminals strap a bomb to his chest.
-
B.
The Next Ten Minutes
"The Next Ten Minutes" is a pivotal duet from the musical *The Last Five Years* in which the two protagonists marry, marking the emotional and structural midpoint of the show.
-
C.
Twelve Minutes
Twelve Minutes is a top-down, interactive thriller video game centered on a man trapped in a time loop, repeatedly reliving the same 12-minute scenario to uncover a mystery.
-
D.
Ten Minutes
Ten Minutes is a stand-up comedy special by comedian Byron Bowers.
-
E.
(500) Days of Summer
(500) Days of Summer is a 2009 romantic comedy-drama film that follows a nonlinear account of a failed relationship between a greeting-card writer and his quirky coworker in Los Angeles.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfab47bc819086684edc1b6dce74 |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96bbd64d8819089d55af875d39e45 |
completed | April 10, 2026, 9:29 p.m. |
Created at: April 8, 2026, 9:02 p.m.