Triple
T13461612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silverwood Films |
E311382
|
entity |
| Predicate | criticalReceptionOfBackedFilms |
P2378
|
FINISHED |
| Object | critically acclaimed |
—
|
LITERAL 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: critically acclaimed | Statement: [Silverwood Films, criticalReceptionOfBackedFilms, critically acclaimed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criticalReceptionOfBackedFilms Context triple: [Silverwood Films, criticalReceptionOfBackedFilms, critically acclaimed]
-
A.
criticalReception
chosen
Indicates how a work, performance, or product is evaluated and responded to by critics or professional reviewers.
-
B.
metacriticReception
Indicates the critical reception or review score an entity received on Metacritic.
-
C.
backedFilm
Indicates that one entity provided financial or promotional support for the production or distribution of a film.
-
D.
criticOutputs
Indicates that a critic produces or provides an evaluative response, judgment, or commentary about a target.
-
E.
servedInTheatres
Indicates that a film or performance was publicly exhibited in movie theaters or similar cinema venues.
- F. None of above.
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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0d95fc81909d9f73d5315dc7b4 |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69d9a03dcd0c8190a8927eb4eaad1c45 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:41 p.m.