Triple
T8429894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tumbleweed Connection |
E199091
|
entity |
| Predicate | allMusicRating |
P83301
|
FINISHED |
| Object | 5 stars |
—
|
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: 5 stars | Statement: [Tumbleweed Connection, allMusicRating, 5 stars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allMusicRating Context triple: [Tumbleweed Connection, allMusicRating, 5 stars]
-
A.
MetascoreBasedOn
Indicates that a metascore is calculated or derived based on a specified set of reviews, ratings, or sources.
-
B.
aidRating
Indicates the assessed level or quality of assistance or support provided in a given context.
-
C.
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.
-
D.
ratingCategory
Indicates the qualitative classification or level assigned to a rating (e.g., low, medium, high) within an evaluation or scoring system.
-
E.
hasMetascore
Indicates that an entity is associated with a Metascore rating, typically representing an aggregated critical review score.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0ec200c8190b0299e2b0b4bdcc2 |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe30c2d088190b4cb89adb4e88273 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:07 p.m.