Triple
T15682141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caddyshack II |
E377602
|
entity |
| Predicate | hasRottenTomatoesStatus |
P36846
|
FINISHED |
| Object | low approval rating |
—
|
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: low approval rating | Statement: [Caddyshack II, hasRottenTomatoesStatus, low approval rating]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRottenTomatoesStatus Context triple: [Caddyshack II, hasRottenTomatoesStatus, low approval rating]
-
A.
hasRottenTomatoesRating
Indicates that an entity has an associated rating value assigned by Rotten Tomatoes.
-
B.
rottenTomatoesStatus
chosen
Indicates the critical or audience evaluation status of a work as represented on Rotten Tomatoes (e.g., fresh, rotten, or certified).
-
C.
hasRottenTomatoesEntry
Indicates that there exists a Rotten Tomatoes database entry corresponding to the given entity.
-
D.
hasMetascore
Indicates that an entity is associated with a Metascore rating, typically representing an aggregated critical review score.
-
E.
hasFilmScoreBy
Indicates that a film’s musical score was composed or created by a specified person or entity.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f306a1c8190a819541a3cc51f5a |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:16 a.m.