Triple
T11235955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Eagle |
E265940
|
entity |
| Predicate | motionPictureRatingSystem |
P13624
|
FINISHED |
| Object | PG-13 (MPAA) |
E48474
|
NE 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: PG-13 (MPAA) | Statement: [The Eagle, motionPictureRatingSystem, PG-13 (MPAA)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PG-13 (MPAA) Context triple: [The Eagle, motionPictureRatingSystem, PG-13 (MPAA)]
-
A.
PG-13
PG-13 is the popular nickname of NBA star Paul George, highlighting both his initials and his smooth, high-scoring style of play.
-
B.
Rated R
Rated R is Rihanna's dark, emotionally charged fourth studio album that marked a stylistic shift toward edgier pop and R&B following her early mainstream success.
-
C.
MPAA film rating system
chosen
The MPAA film rating system is a standardized classification scheme used in the United States to inform audiences—especially parents—about the suitability of films for different age groups based on their content.
-
D.
PG
PG is the international vehicle registration code used for Podgorica, the capital city of Montenegro.
-
E.
PG
PG is the common abbreviation for Project Gutenberg, a pioneering digital library offering free access to thousands of public-domain ebooks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e904cf888190826fc964f76b5cb2 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad6308f8819085652d6c529ac821 |
completed | April 19, 2026, 10:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.