Triple
T14781173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexican cinema |
E347391
|
entity |
| Predicate | goldenAgeEnd |
P64204
|
FINISHED |
| Object | 1950s |
—
|
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: 1950s | Statement: [Mexican cinema, goldenAgeEnd, 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goldenAgeEnd Context triple: [Mexican cinema, goldenAgeEnd, 1950s]
-
A.
goldenAgeApproxEnd
chosen
Indicates the approximate time or period when a golden age or peak era comes to an end.
-
B.
endedEra
Indicates that one entity brought about or marked the conclusion of a particular era associated with another entity.
-
C.
hasGoldenAge
Indicates that an entity experiences or is associated with a peak period of exceptional success, prosperity, or achievement.
-
D.
yearOfCreationEnd
Indicates the year in which the creation or production of something was completed or came to an end.
-
E.
goldRushEra
Indicates a relationship or context tied to the historical period characterized by intense migration and mining activity driven by newly discovered gold.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9de3f48190b7706925e2947cf5 |
completed | April 14, 2026, 11:15 p.m. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.