Triple
T7230403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chi-Raq |
E154885
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | Roadside Attractions |
E90121
|
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: Roadside Attractions | Statement: [Chi-Raq, distributor, Roadside Attractions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roadside Attractions Context triple: [Chi-Raq, distributor, Roadside Attractions]
-
A.
Roadside Attractions
chosen
Roadside Attractions is an American independent film distribution company known for releasing specialty and arthouse films to theatrical audiences.
-
B.
Open Road Films
Open Road Films is an American independent film distribution company known for releasing a range of mid-budget and specialty films in theaters.
-
C.
River Road Entertainment
River Road Entertainment is an American film production company known for financing and producing acclaimed independent and prestige films.
-
D.
Overture Films
Overture Films was an American independent film production and distribution company active in the late 2000s, known for releasing a range of mid-budget and specialty films.
-
E.
Main Street Films
Main Street Films is an independent film production company known for backing feature films such as the action-comedy "Barely Lethal."
- 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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea0d9b6c8190a0b5f0ab8d5cca19 |
completed | March 27, 2026, 8:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc22a39481909a2f38014260f302 |
completed | March 28, 2026, 12:40 p.m. |
Created at: March 27, 2026, 2:54 p.m.