Triple
T31431085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rojo Amanecer |
E801798
|
entity |
| Predicate | filmCensorshipStatus |
P172235
|
FINISHED |
| Object | initially censored in Mexico |
—
|
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: initially censored in Mexico | Statement: [Rojo Amanecer, filmCensorshipStatus, initially censored in Mexico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmCensorshipStatus Context triple: [Rojo Amanecer, filmCensorshipStatus, initially censored in Mexico]
-
A.
filmStatus
Indicates the current production, release, or availability state of a film (e.g., announced, in production, released, cancelled).
-
B.
filmCertificationIndia
Indicates the official age-appropriateness or content rating assigned to a film by the Indian certification authority.
-
C.
bbfcRatingUK
Indicates the film or media content rating assigned by the British Board of Film Classification (BBFC) in the United Kingdom.
-
D.
filmRatingCanada
Indicates the film’s official content rating as assigned by Canadian film classification authorities.
-
E.
filmRatingRegion
Indicates the region or country for which a film’s content rating or classification is applicable.
- 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_69f348c475348190bf579ca858eec77c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a9603b208190b3533ea2b441514c |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a915ead881909463ae46419c343e |
completed | May 3, 2026, 1:47 a.m. |
Created at: April 30, 2026, 8:57 p.m.