Triple
T34103660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ozymandias (Breaking Bad) |
E874640
|
entity |
| Predicate | imdbRating |
P119390
|
FINISHED |
| Object | 10.0 |
—
|
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: 10.0 | Statement: [Ozymandias (Breaking Bad), imdbRating, 10.0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imdbRating Context triple: [Ozymandias (Breaking Bad), imdbRating, 10.0]
-
A.
hasRottenTomatoesRating
Indicates that an entity has an associated rating value assigned by Rotten Tomatoes.
-
B.
hasIMDbId
Indicates that an entity is associated with a specific identifier used by the Internet Movie Database (IMDb) to uniquely reference it.
-
C.
ratingOfWork
chosen
Indicates the evaluative score or assessment assigned to a particular work or creation.
-
D.
ratingCategory
Indicates the qualitative classification or level assigned to a rating (e.g., low, medium, high) within an evaluation or scoring system.
-
E.
hasFilmScore
Indicates that one entity serves as the musical score or soundtrack composed for a particular film.
- 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_69f349a80d4481908527317d43f5c579 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70c6f50cc8190a2b1aedba02e1b0e |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:53 a.m.