Triple
T13108971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S.W.A.T. (2003 film) |
E310920
|
entity |
| Predicate | hasSequel |
P1961
|
FINISHED |
| Object | S.W.A.T.: Under Siege |
E310920
|
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: S.W.A.T.: Under Siege | Statement: [S.W.A.T. (2003 film), hasSequel, S.W.A.T.: Under Siege]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S.W.A.T.: Under Siege Context triple: [S.W.A.T. (2003 film), hasSequel, S.W.A.T.: Under Siege]
-
A.
S.W.A.T.
chosen
S.W.A.T. is a 2003 action film about an elite Los Angeles police special weapons and tactics team, starring Colin Farrell and Samuel L. Jackson.
-
B.
Under Siege
Under Siege is a recurring professional wrestling event produced by the American promotion Impact Wrestling.
-
C.
Under Siege
Under Siege is a 1992 action thriller film starring Steven Seagal as a former Navy SEAL battling terrorists aboard a U.S. battleship.
-
D.
Under Siege 2: Dark Territory
Under Siege 2: Dark Territory is a 1995 action thriller film and sequel to Under Siege, featuring Steven Seagal as a former Navy SEAL battling terrorists aboard a hijacked train.
-
E.
Live Free or Die Hard
Live Free or Die Hard is a 2007 action film in the Die Hard franchise, following NYPD detective John McClane as he battles cyber-terrorists threatening the United States.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817ce07881909ec552bf861ac175 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eadad81c8190881e6577e1c2a207 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:05 p.m.