Triple
T14640027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hitman’s Wife’s Bodyguard |
E343698
|
entity |
| Predicate | partOfSeries |
P1761
|
FINISHED |
| Object | The Hitman’s Bodyguard film series |
—
|
NE GENERATED |
How this triple was built (1 step)
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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Hitman’s Bodyguard film series Context triple: [Hitman’s Wife’s Bodyguard, partOfSeries, The Hitman’s Bodyguard film series]
-
A.
Hitman’s Wife’s Bodyguard
Hitman’s Wife’s Bodyguard is a 2021 action-comedy film and sequel to The Hitman’s Bodyguard, featuring Salma Hayek alongside Ryan Reynolds and Samuel L. Jackson in a violent, fast-paced, and comedic adventure.
-
B.
The Hitman’s Bodyguard
chosen
The Hitman’s Bodyguard is a 2017 action-comedy film starring Ryan Reynolds and Samuel L. Jackson, known for its blend of high-octane stunts and irreverent humor.
-
C.
Hitman (selected titles)
Hitman (selected titles) is a stealth-action video game series centered on the genetically engineered assassin Agent 47, known for its open-ended missions and emphasis on creative, strategic assassinations.
-
D.
The Hitman
The Hitman is the ring nickname of Thomas Hearns, the legendary American professional boxer known for his devastating punching power and multiple world titles across different weight classes.
-
E.
Bodyguards and Assassins
Bodyguards and Assassins is a 2009 Hong Kong historical action film set in 1905 that follows a group of ordinary people who risk their lives to protect revolutionary leader Sun Yat-sen from an assassination plot in Hong Kong.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (1 batch)
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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 10, 2026, 1:26 a.m.