Triple
T16394752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La tía Julia y el escribidor |
E398149
|
entity |
| Predicate | importantElement |
P1887
|
FINISHED |
| Object | radio soap operas |
—
|
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: radio soap operas | Statement: [La tía Julia y el escribidor, importantElement, radio soap operas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: importantElement Context triple: [La tía Julia y el escribidor, importantElement, radio soap operas]
-
A.
importantSaint
Indicates that the subject is recognized as a particularly significant or highly revered saint within a religious or spiritual tradition.
-
B.
isImportantFor
chosen
Indicates that something holds significant value, relevance, or necessity in relation to something else.
-
C.
importantInSect
Indicates that one entity holds significant importance, influence, or status within a particular sect or religious subgroup.
-
D.
majorImport
Indicates that one entity is a primary or significant source of imported goods or resources for another entity.
-
E.
peakImportance
Indicates that something reaches or represents the highest level of importance within a given context or timeframe.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3264538e4819082442d254accf392 |
completed | April 18, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69e226f94dd48190b7b8e0e983738a67 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:08 a.m.