Triple
T21380173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leon Ichaso |
E527328
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Azúcar amarga |
—
|
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: Azúcar amarga | Statement: [Leon Ichaso, notableWork, Azúcar amarga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azúcar amarga Context triple: [Leon Ichaso, notableWork, Azúcar amarga]
-
A.
La Amarga
La Amarga is a small settlement located within the Picunches Department in the Neuquén Province of Argentina.
-
B.
Bitter Sugar
chosen
Bitter Sugar is a 1996 Cuban-American drama film by Leon Ichaso that portrays the disillusionment and hardships of life in post-revolutionary Cuba.
-
C.
Pan de Azúcar
Pan de Azúcar is a small city in southeastern Uruguay known for its proximity to the coastal resorts of Maldonado Department and the nearby Pan de Azúcar hill and nature reserve.
-
D.
Pan de Azúcar
Pan de Azúcar is a prominent snow-capped peak in Colombia’s Sierra Nevada del Cocuy, known for its striking glaciated slopes and popularity among high-altitude trekkers and climbers.
-
E.
Bitter with the Sweet
"Bitter with the Sweet" is a song featured on the 1969 folk-rock album *Rhymes & Reasons* by John Denver.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0cdab8c8190a7eebe6e5961ee75 |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:11 p.m.