Triple
T20472075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The 33 |
E502217
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | The 33 |
—
|
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 33 | Statement: [The 33, title, The 33]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The 33 Context triple: [The 33, title, The 33]
-
A.
The 33
chosen
The 33 is a 2015 drama film that recounts the true story of the 2010 Chilean mining disaster and the rescue of 33 trapped miners.
-
B.
Thirty Three
"Thirty Three" is a 1965 Soviet satirical comedy film directed by Georgy Daneliya, known for its absurdist humor and critique of contemporary Soviet society.
-
C.
The 305
The 305 is a nickname commonly used to refer to Miami, Florida, derived from its original area code.
-
D.
The 355
The 355 is a 2022 female-led espionage action thriller film about an international team of spies who unite to stop a global threat.
-
E.
Take Thirty
Take Thirty was a long-running Canadian television current affairs and talk show that aired on CBC, known for its magazine-style coverage of social issues and culture.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6996197908190b6570e2a7fd6cf67 |
completed | April 20, 2026, 9:23 p.m. |
Created at: April 16, 2026, 11:33 a.m.