Triple
T13870955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timecop |
E333447
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Time Cop |
E333447
|
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: Time Cop | Statement: [Timecop, basedOn, Time Cop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Time Cop Context triple: [Timecop, basedOn, Time Cop]
-
A.
Timecop
chosen
Timecop is a 1994 science fiction action film starring Jean-Claude Van Damme as a time-traveling police officer who must prevent criminals from altering the past for personal gain.
-
B.
Timecop 2: The Berlin Decision
Timecop 2: The Berlin Decision is a 2003 direct-to-video science fiction action film and sequel to the original Timecop, following time-traveling agents policing temporal crimes.
-
C.
Time Freak
Time Freak is a 2018 sci-fi romantic comedy film about a young physics prodigy who builds a time machine to fix his failed relationship, starring Asa Butterfield and Sophie Turner.
-
D.
Time Patrol
Time Patrol is a classic science fiction series by Poul Anderson about an organization that travels through time to preserve the integrity of history.
-
E.
Clockstoppers
Clockstoppers is a 2002 science fiction adventure film about a teenager who discovers a watch that can manipulate time, leading to high-tech escapades and government intrigue.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c638248190bbe5d19f7b88d0f9 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c107c20c81909dff0ca4a59fcc55 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.