Triple
T20276180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary in The Passion of the Christ |
E503021
|
entity |
| Predicate | hasFilmRatingContext |
P102265
|
FINISHED |
| Object | R (for The Passion of the Christ in the US) |
—
|
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 (for The Passion of the Christ in the US) | Statement: [Mary in The Passion of the Christ, hasFilmRatingContext, R (for The Passion of the Christ in the US)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmRatingContext Context triple: [Mary in The Passion of the Christ, hasFilmRatingContext, R (for The Passion of the Christ in the US)]
-
A.
hasFilmScoreBy
Indicates that a film’s musical score was composed or created by a specified person or entity.
-
B.
hasFilmScore
Indicates that one entity serves as the musical score or soundtrack composed for a particular film.
-
C.
hasFilmRatingAustralia
Indicates that an entity (typically a film or audiovisual work) has a specific official classification or rating assigned by the Australian film rating system.
-
D.
hasFilmRatingSystemIssueWith
Indicates that there is a problem, conflict, or inconsistency involving a particular film rating system in relation to another entity.
-
E.
ageRatingContext
chosen
Indicates the contextual basis or circumstances (such as region, system, or criteria) under which an age rating is assigned or interpreted.
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e675e3df68819096fb859bc92a0da1 |
completed | April 20, 2026, 6:52 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 10:32 a.m.