Triple
T21890953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Ragen |
E540542
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | feature film "Kicks" |
—
|
NE NERFINISHED |
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: feature film "Kicks" | Statement: [Michael Ragen, knownFor, feature film "Kicks"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: feature film "Kicks" Context triple: [Michael Ragen, knownFor, feature film "Kicks"]
-
A.
Kicks (film)
chosen
Kicks is a 2016 coming-of-age drama film that follows a teenage boy in Oakland whose quest to retrieve his stolen Air Jordans leads him into increasingly dangerous situations.
-
B.
film "16 Blocks"
"16 Blocks" is a 2006 action thriller film starring Bruce Willis as a weary NYPD detective tasked with escorting a key witness, played by Mos Def, across Manhattan while corrupt cops try to stop them.
-
C.
"Kicks"
"Kicks" is a film project that features the work of filmmaker Chris Donlon.
-
D.
film "Streets"
"Streets" is a crime drama film featuring rapper and actor Beanie Sigel in a gritty urban setting.
-
E.
film "Step Up"
"Step Up" is a 2006 dance drama film that follows a rebellious street dancer and a disciplined ballet student who team up for a life-changing performance at a prestigious arts school.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc2124c8190a79cf115a1d30283 |
completed | April 28, 2026, 8:59 p.m. |
Created at: April 16, 2026, 7:06 p.m.