Triple
T15315724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saving Grace |
E366150
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Sky Pictures |
E318081
|
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: Sky Pictures | Statement: [Saving Grace, productionCompany, Sky Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sky Pictures Context triple: [Saving Grace, productionCompany, Sky Pictures]
-
A.
Sky Pictures
chosen
Sky Pictures is a film production company best known for its involvement in the British heist thriller "The Bank Job."
-
B.
Sun Pictures
Sun Pictures is a prominent Indian film production and distribution company best known for producing major Tamil-language blockbuster movies.
-
C.
Park Pictures
Park Pictures is a production company known for its acclaimed work in commercials, music videos, and feature films.
-
D.
Park Ex Pictures
Park Ex Pictures is a Canadian film production company known for producing the bilingual action-comedy thriller "Bon Cop, Bad Cop."
-
E.
Gravity Pictures
Gravity Pictures is a Chinese film production company known for co-producing major international releases, including the sci-fi action thriller "The Meg."
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dd1d384819098f38402a8740d91 |
completed | April 16, 2026, 1:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8a688a48190848eb7f065aba146 |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:16 a.m.