Triple
T3147399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telemundo |
E65795
|
entity |
| Predicate | contentProduction |
P490
|
FINISHED |
| Object | produces original telenovelas |
—
|
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: produces original telenovelas | Statement: [Telemundo, contentProduction, produces original telenovelas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contentProduction Context triple: [Telemundo, contentProduction, produces original telenovelas]
-
A.
produces
chosen
Indicates that one entity creates, generates, or yields another entity as a result or output.
-
B.
article2Content
Indicates that one article serves as the content or body text for another article or higher-level publication entity.
-
C.
coProduced
Indicates that two or more entities jointly produced or created a work, project, or product together.
-
D.
creationType
Indicates the manner or process by which something was brought into existence or produced.
-
E.
articleContent
Indicates that one entity is the textual or media content that makes up the body of another entity, typically an article or document.
- 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59a54188190a2e020fd4004d734 |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfa3d9081908425aa636bb9b897 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.