Triple
T5693267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Mendez |
E125475
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Canadian Caper |
E125477
|
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: Canadian Caper | Statement: [Tony Mendez, notableWork, Canadian Caper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canadian Caper Context triple: [Tony Mendez, notableWork, Canadian Caper]
-
A.
Canadian Caper
chosen
The Canadian Caper was a covert 1979 operation during the Iran hostage crisis in which Canadian diplomats and the CIA smuggled six American diplomats out of Tehran using a fake movie production as cover.
-
B.
Due South
Due South is a Canadian comedy-drama television series that follows a principled Mountie who teams up with a Chicago detective to solve crimes.
-
C.
Fatherland
Fatherland is the English name of Batkivshchyna, a major Ukrainian political party led for many years by Yulia Tymoshenko.
-
D.
Eurotrip
Eurotrip is a 2004 teen comedy film that follows a group of American friends on a chaotic and humorous journey across Europe.
-
E.
Mighty Canadian Minebuster
Mighty Canadian Minebuster is a classic wooden roller coaster at Canada's Wonderland known for its long, out-and-back layout and airtime-filled drops.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023e7dbe48190850b501f223614e3 |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a4f2bfc8190bc56c094f9ae9ce1 |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:44 p.m.