Triple
T23293736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vincent Van Patten |
E590104
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | The Break |
—
|
NE NERFINISHED |
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: The Break | Statement: [Vincent Van Patten, wrote, The Break]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Break Context triple: [Vincent Van Patten, wrote, The Break]
-
A.
The Break
"The Break" is a film featuring Australian actress Diane Cilento, known for her acclaimed performances in mid-20th-century cinema.
-
B.
The Break
chosen
The Break is a 1995 American sports drama film centered on a former tennis pro who attempts a comeback by coaching a talented young player.
-
C.
On Break
"On Break" is a track featured on the comedy-rap album "Don't Quit Your Day Job!" by Kanye West.
-
D.
Beyond the Break
Beyond the Break is an American teen drama television series centered on a group of young female surfers pursuing professional careers in Hawaii.
-
E.
Make and Break
Make and Break is a satirical stage play by Michael Frayn that explores corporate culture and moral compromise through the story of a driven businessman at a trade fair.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196ccd9b481909ab5d3504640025e |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:02 p.m.