Triple
T20493450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regina Bárcenas |
E502805
|
entity |
| Predicate | hasAntagonist |
P18963
|
FINISHED |
| Object | Germán Palacios |
—
|
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: Germán Palacios | Statement: [Regina Bárcenas, hasAntagonist, Germán Palacios]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Germán Palacios Context triple: [Regina Bárcenas, hasAntagonist, Germán Palacios]
-
A.
Germán Palacios
chosen
Germán Palacios is an Argentine actor known for his work in film, television, and theater.
-
B.
José Palacios
José Palacios is a character in Gabriel García Márquez’s novel "The General in His Labyrinth," depicted as the loyal servant and companion of Simón Bolívar during the liberator’s final journey.
-
C.
Andrés Ábalos
Andrés Ábalos is a central fictional character featured in the work "Coronation."
-
D.
Raúl Otero
Raúl Otero was an architect known for his role in designing El Capitolio, the grand national capitol building in Havana, Cuba.
-
E.
Germán Portillo
Germán Portillo is a person notable enough to be recognized as a namesake of the surname Portillo.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbb3bd081909351525208b41bba |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.