Triple
T6420772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metacritic |
E127936
|
entity |
| Predicate | MetascoreBasedOn |
P70568
|
FINISHED |
| Object | weighted average of critic reviews |
—
|
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: weighted average of critic reviews | Statement: [Metacritic, MetascoreBasedOn, weighted average of critic reviews]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MetascoreBasedOn Context triple: [Metacritic, MetascoreBasedOn, weighted average of critic reviews]
-
A.
hasMetascore
Indicates that an entity is associated with a Metascore rating, typically representing an aggregated critical review score.
-
B.
metacriticCategory
Indicates that one entity is classified under a specific Metacritic-defined category (such as a media type, genre, or section) in the Metacritic system.
-
C.
hasMetacriticId
Indicates that an entity is associated with a specific identifier used by Metacritic to reference it in their database.
-
D.
hasRottenTomatoesRating
Indicates that an entity has an associated rating value assigned by Rotten Tomatoes.
-
E.
coScoredWith
Indicates that two or more entities received the same score or were evaluated with an identical scoring outcome in a shared context.
- F. None of above. chosen
Provenance (4 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_69c0083815208190a9b299b8e0640218 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06902ddb48190bd5a8b5ecdf6c39e |
completed | March 22, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69c060f5d4e481909d1366190607b586 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623e3cd48190929b0e3cba013909 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:43 p.m.