Triple
T3858793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uncut Gems |
E90083
|
entity |
| Predicate | hasRottenTomatoesTomatometerScore |
P37622
|
FINISHED |
| Object | over 90 percent |
—
|
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: over 90 percent | Statement: [Uncut Gems, hasRottenTomatoesTomatometerScore, over 90 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRottenTomatoesTomatometerScore Context triple: [Uncut Gems, hasRottenTomatoesTomatometerScore, over 90 percent]
-
A.
hasRottenTomatoesRating
chosen
Indicates that an entity has an associated rating value assigned by Rotten Tomatoes.
-
B.
hasRottenTomatoesEntry
Indicates that there exists a Rotten Tomatoes database entry corresponding to the given entity.
-
C.
rottenTomatoesStatus
Indicates the critical or audience evaluation status of a work as represented on Rotten Tomatoes (e.g., fresh, rotten, or certified).
-
D.
hasMetascore
Indicates that an entity is associated with a Metascore rating, typically representing an aggregated critical review score.
-
E.
hasIMDbId
Indicates that an entity is associated with a specific identifier used by the Internet Movie Database (IMDb) to uniquely reference it.
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec1e68f88190941c39221486f6ae |
completed | March 9, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69aee752c8a48190a670f73ed0bf1e61 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.