Triple
T550617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pan’s Labyrinth |
E11830
|
entity |
| Predicate | certificateRating |
P15618
|
FINISHED |
| Object | R (MPAA) |
—
|
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: R (MPAA) | Statement: [Pan’s Labyrinth, certificateRating, R (MPAA)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: certificateRating Context triple: [Pan’s Labyrinth, certificateRating, R (MPAA)]
-
A.
certificationBy
Indicates that one entity formally attests to, approves, or validates the qualifications, standards, or authenticity of another entity.
-
B.
qualificationBadge
Indicates that an entity has been awarded or holds a specific qualification badge signifying a certified skill, status, or achievement.
-
C.
certificationDate
Indicates the date on which an entity was officially certified or granted a formal certification.
-
D.
issuerType
Indicates the classification or category of the entity that issues something (such as a document, credential, or instrument).
-
E.
certificationUS
Indicates that an entity holds or is associated with a certification that is recognized, issued, or valid within the United States.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499030cf4819089b9163102255e49 |
completed | March 1, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69a494bae210819093c2e0d33a8ca51a |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a49858abd48190bd4b002a93e4a908 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.