Triple
T5143174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conrad Buff IV |
E116007
|
entity |
| Predicate | edited |
P1932
|
FINISHED |
| Object | 2 Guns |
E335049
|
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: 2 Guns | Statement: [Conrad Buff IV, edited, 2 Guns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 2 Guns Context triple: [Conrad Buff IV, edited, 2 Guns]
-
A.
2 Guns
chosen
2 Guns is a 2013 action-comedy film starring Denzel Washington and Mark Wahlberg as undercover agents forced to work together after a botched operation exposes a larger conspiracy.
-
B.
Hot Fuzz
Hot Fuzz is a 2007 British action-comedy film directed by Edgar Wright, following an overachieving London police officer reassigned to a seemingly quiet village hiding dark secrets.
-
C.
Bad Boys for Life
Bad Boys for Life is a 2020 action-comedy film in the Bad Boys franchise, following Miami detectives Mike Lowrey and Marcus Burnett as they confront a vengeful cartel.
-
D.
Ride Along
Ride Along is a 2014 action-comedy film starring Kevin Hart and Ice Cube, following a fast-talking security guard who joins his tough future brother-in-law, a cop, on a chaotic ride-along to prove himself.
-
E.
Code Black
Code Black is an American medical drama television series set in an overcrowded, high-intensity emergency room, inspired by a documentary of the same name.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7883004881909c763da818d9b6e2 |
completed | March 20, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfec5c108190a3882c25118179a7 |
completed | March 21, 2026, 5:05 p.m. |
Created at: March 20, 2026, 1:43 p.m.