Triple
T15000956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open'er Festival |
E374085
|
entity |
| Predicate | organizer |
P123
|
FINISHED |
| Object | Alter Art |
E374085
|
NE FINISHED |
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: Alter Art | Statement: [Open'er Festival, organizer, Alter Art]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alter Art Context triple: [Open'er Festival, organizer, Alter Art]
-
A.
Alter Art
chosen
Alter Art is a Polish event management company best known for organizing major music festivals and concerts, including the Open'er Festival.
-
B.
Allart
Allart is a Dutch given name historically borne by figures such as the 17th-century painter Allart van Everdingen.
-
C.
Artěl
Artěl was a Czech artists' and designers' cooperative active in the early 20th century that promoted modern applied arts and design.
-
D.
ARTs
ARTs are dual-status civilian and military personnel who provide full-time support to the U.S. Air Force Reserve by maintaining readiness, training, and continuity for reserve units.
-
E.
ARTV
ARTV is a Canadian French-language specialty television channel focused on arts and culture programming.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded72fec948190b1c9705538c57976 |
completed | April 15, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969e2d888190afbb9c8fd8a707c8 |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:54 a.m.