Triple
T20493443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regina Bárcenas |
E502805
|
entity |
| Predicate | networkOfOriginalBroadcast |
P833
|
FINISHED |
| Object | Las Estrellas |
—
|
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: Las Estrellas | Statement: [Regina Bárcenas, networkOfOriginalBroadcast, Las Estrellas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Las Estrellas Context triple: [Regina Bárcenas, networkOfOriginalBroadcast, Las Estrellas]
-
A.
Las Estrellas
chosen
Las Estrellas is a major Mexican broadcast television network known for its popular telenovelas and entertainment programming.
-
B.
La Estrella
La Estrella is a small locality in Chile’s Cardenal Caro Province, within the O'Higgins Region.
-
C.
La Estrella
La Estrella is a municipality in the Antioquia department of Colombia, located in the metropolitan area of Medellín within the Aburrá Valley.
-
D.
La Estrella
La Estrella is a rural municipality and town in central Chile’s Colchagua Province, known for its agricultural activities and traditional countryside character.
-
E.
Ay yıldız
Ay yıldız is the crescent-and-star emblem that serves as the central symbol of the Turkish national flag and a broader icon of Turkey.
- 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.