Triple
T3051130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | True Grit (2010 film) |
E83572
|
entity |
| Predicate | hasReviewAggregatorRating |
P37397
|
FINISHED |
| Object | high critical acclaim |
—
|
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: high critical acclaim | Statement: [True Grit (2010 film), hasReviewAggregatorRating, high critical acclaim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReviewAggregatorRating Context triple: [True Grit (2010 film), hasReviewAggregatorRating, high critical acclaim]
-
A.
reviewAggregator
Indicates that an entity functions as a collector and summarizer of reviews or ratings about other entities.
-
B.
originalRatingsIncluded
Indicates that the original, unmodified ratings are present and taken into account within the current context or dataset.
-
C.
hasTourismRating
Indicates that an entity has been assigned a specific tourism-related quality or rating, reflecting its appeal or suitability for tourists.
-
D.
ratingDescription
chosen
Indicates the textual explanation or qualitative summary associated with a given rating or score.
-
E.
aidRating
Indicates the assessed level or quality of assistance or support provided in a given context.
- 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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9bb1a46081908547a2f27cbf3446 |
completed | March 8, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69ad962195388190856013a2519c2b0f |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.