Triple
T38396830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Runner Stumbles |
E900784
|
entity |
| Predicate | filmRatingSystemUsed |
P68296
|
FINISHED |
| Object | MPAA |
—
|
NE NERFINISHED |
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: MPAA | Statement: [The Runner Stumbles, filmRatingSystemUsed, MPAA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmRatingSystemUsed Context triple: [The Runner Stumbles, filmRatingSystemUsed, MPAA]
-
A.
ageRatingSystem
chosen
Indicates the classification scheme or standard used to assign age-appropriateness ratings to content.
-
B.
filmRatingSystemEra
Indicates the specific historical period or version of a film rating system under which a film’s rating was assigned.
-
C.
mpaaRating
Indicates the official Motion Picture Association of America (MPAA) content rating assigned to a film or audiovisual work.
-
D.
USRating
Indicates that an entity has been assigned a rating, classification, or evaluation according to a United States–based standard or system.
-
E.
hasFilmRatingSystemIssueWith
Indicates that there is a problem, conflict, or inconsistency involving a particular film rating system in relation to another 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_69f76e6071a081909eea7a670d21420c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.