Triple
T1627122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LL Cool J |
E35169
|
entity |
| Predicate | filmWork |
P9968
|
FINISHED |
| Object | S.W.A.T. |
E77027
|
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. | Statement: [LL Cool J, filmWork, S.W.A.T.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S.W.A.T. Context triple: [LL Cool J, filmWork, S.W.A.T.]
-
A.
SWAT
chosen
SWAT is the Los Angeles Police Department’s elite tactical unit specializing in high-risk operations such as hostage rescues, counterterrorism, and armed standoffs.
-
B.
Swat
Swat is a picturesque valley and administrative district in northern Pakistan, renowned for its lush landscapes, historical Buddhist sites, and role as a major tourist destination in Khyber Pakhtunkhwa.
-
C.
Homicide Squad
The Homicide Squad is a specialized New York City Police Department unit dedicated to investigating and solving murder cases.
-
D.
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.
-
E.
Training Day
Training Day is a 2001 crime thriller film directed by Antoine Fuqua, following a rookie cop's harrowing first day with a corrupt narcotics detective in Los Angeles.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61df32a88190a7e823a77bdcc84a |
completed | March 6, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58d12e808190a1319b1c87bcd22e |
completed | March 8, 2026, 11:09 a.m. |
Created at: March 4, 2026, 7:28 p.m.