Triple
T33853427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blowup |
E867696
|
entity |
| Predicate | laterMPAARating |
P201581
|
FINISHED |
| Object | R |
—
|
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 | Statement: [Blowup, laterMPAARating, R]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterMPAARating Context triple: [Blowup, laterMPAARating, R]
-
A.
mpaaRating
Indicates the official Motion Picture Association of America (MPAA) content rating assigned to a film or audiovisual work.
-
B.
USRating
Indicates that an entity has been assigned a rating, classification, or evaluation according to a United States–based standard or system.
-
C.
MPAAEquivalentRating
Indicates that one rating corresponds to or is considered equivalent to another rating under the MPAA rating system.
-
D.
mpaaEra
Indicates the MPAA rating era or classification period under which a work was evaluated or released.
-
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. 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_69f349937b648190a34ada70f6a2b534 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0008225cc081909ff1fd0639859dc4 |
completed | May 10, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_6a0007bac5d8819098aff8031d4abe5d |
completed | May 10, 2026, 4:21 a.m. |
| PDg | Predicate description generation | batch_6a000821b12c819093ca3b3dc0cff370 |
completed | May 10, 2026, 4:22 a.m. |
Created at: May 1, 2026, 1:47 a.m.