Triple
T24847343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chico & Rita |
E621786
|
entity |
| Predicate | goyaAwardsEdition |
P157406
|
FINISHED |
| Object | 25th Goya Awards |
—
|
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: 25th Goya Awards | Statement: [Chico & Rita, goyaAwardsEdition, 25th Goya Awards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goyaAwardsEdition Context triple: [Chico & Rita, goyaAwardsEdition, 25th Goya Awards]
-
A.
academyAwardsEdition
Indicates the specific edition or installment of the Academy Awards associated with an entity.
-
B.
festivalEditionYear
Indicates the specific calendar year in which a particular edition of a recurring festival takes place.
-
C.
awardEditionOf
Indicates that one entity is a specific edition or iteration of an award associated with another entity.
-
D.
GoldenLionAwardedAt
Indicates that a Golden Lion award was conferred at a particular event, venue, or edition of a festival.
-
E.
awardFestival
Indicates that an entity receives or is granted an award in the context of a festival or festival-related event.
- F. None of above. chosen
Provenance (4 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_69e2fac297e481909d3aedc75f585e42 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f4303fad6c8190844f069164f0904d |
completed | May 1, 2026, 4:46 a.m. |
Created at: April 18, 2026, 5:20 a.m.