Triple
T12942242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Live or Die |
E309663
|
entity |
| Predicate | hasPoem |
P21160
|
FINISHED |
| Object | The Break |
E882088
|
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: The Break | Statement: [Live or Die, hasPoem, The Break]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Break Context triple: [Live or Die, hasPoem, The Break]
-
A.
The Break
chosen
"The Break" is a film featuring Australian actress Diane Cilento, known for her acclaimed performances in mid-20th-century cinema.
-
B.
On Break
"On Break" is a track featured on the comedy-rap album "Don't Quit Your Day Job!" by Kanye West.
-
C.
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.
-
D.
The Break-Up
The Break-Up is a 2006 romantic comedy-drama film starring Jennifer Aniston and Vince Vaughn as a couple navigating a messy split while still sharing their condo.
-
E.
Don’t Break It
Don’t Break It is a track featured on the jazz standard album "All of Me."
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1a28688190ab9fd1307bc76b4a |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af73e6348190be114e8c5ad181bf |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 9, 2026, 5:43 p.m.