Triple
T23208143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | God's Pocket |
E580514
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Park Pictures |
—
|
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: Park Pictures | Statement: [God's Pocket, productionCompany, Park Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Park Pictures Context triple: [God's Pocket, productionCompany, Park Pictures]
-
A.
Park Pictures
chosen
Park Pictures is a production company known for its acclaimed work in commercials, music videos, and feature films.
-
B.
Park Ex Pictures
Park Ex Pictures is a Canadian film production company known for producing the bilingual action-comedy thriller "Bon Cop, Bad Cop."
-
C.
Apollo Pictures
Apollo Pictures is a film production company best known for producing the 1987 teen romantic comedy "Can't Buy Me Love."
-
D.
Phoenix Pictures
Phoenix Pictures is an American film production company known for producing critically acclaimed movies such as "Black Swan" and "The Thin Red Line."
-
E.
Sky Pictures
Sky Pictures is a film production company best known for its involvement in the British heist thriller "The Bank Job."
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907ea2b08190b97c146a4b22d293 |
completed | April 29, 2026, 5 a.m. |
Created at: April 17, 2026, 4:07 p.m.