Triple
T24170311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Eagle and the Hawk (1933 film) |
E599108
|
entity |
| Predicate | motionPictureRatingEra |
P133512
|
FINISHED |
| Object | pre-Code Hollywood |
—
|
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: pre-Code Hollywood | Statement: [The Eagle and the Hawk (1933 film), motionPictureRatingEra, pre-Code Hollywood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motionPictureRatingEra Context triple: [The Eagle and the Hawk (1933 film), motionPictureRatingEra, pre-Code Hollywood]
-
A.
filmRatingSystemEra
chosen
Indicates the specific historical period or version of a film rating system under which a film’s rating was assigned.
-
B.
mpaaRating
Indicates the official Motion Picture Association of America (MPAA) content rating assigned to a film or audiovisual work.
-
C.
USRating
Indicates that an entity has been assigned a rating, classification, or evaluation according to a United States–based standard or system.
-
D.
ageRatingSystem
Indicates the classification scheme or standard used to assign age-appropriateness ratings to content.
-
E.
ratedFor
Indicates that an entity has been evaluated and assigned a suitability or quality level for a particular purpose, context, or audience.
- 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_69e288cbd62881909de32ca64a70c17b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:33 p.m.