Triple
T34014809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Vallejo |
E872211
|
entity |
| Predicate | workTranslation |
P99481
|
FINISHED |
| Object | Amando a Pablo, odiando a Escobar -> Loving Pablo, Hating Escobar |
—
|
NE NERFINISHED |
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: Amando a Pablo, odiando a Escobar -> Loving Pablo, Hating Escobar | Statement: [Virginia Vallejo, workTranslation, Amando a Pablo, odiando a Escobar -> Loving Pablo, Hating Escobar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workTranslation Context triple: [Virginia Vallejo, workTranslation, Amando a Pablo, odiando a Escobar -> Loving Pablo, Hating Escobar]
-
A.
workTranslatedFrom
Indicates that a work is a translation derived from an original work in another language.
-
B.
translationActivity
Indicates that an entity is engaged in the process of translating content from one language or form into another.
-
C.
translatedWorkOf
Indicates that one work is a translation of another original work.
-
D.
textTranslation
chosen
Indicates a relationship where one text is rendered into another language or form while preserving its original meaning.
-
E.
translator
Indicates that one entity serves to convert or render content from one language or form into another for a second entity.
- 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_69f349a19ad88190ab586f010c804a8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:51 a.m.