Triple
T29510380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shorty Award for Best in Dance |
E748630
|
entity |
| Predicate | isCategoryOf |
P19933
|
FINISHED |
| Object |
Shorty Awards arts and entertainment categories
Shorty Awards arts and entertainment categories are a set of social media–focused award classifications that recognize outstanding creators and content in creative fields such as dance, music, film, and other performing and visual arts.
|
E1872682
|
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: Shorty Awards arts and entertainment categories | Statement: [Shorty Award for Best in Dance, isCategoryOf, Shorty Awards arts and entertainment categories]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shorty Awards arts and entertainment categories Triple: [Shorty Award for Best in Dance, isCategoryOf, Shorty Awards arts and entertainment categories]
Generated description
Shorty Awards arts and entertainment categories are a set of social media–focused award classifications that recognize outstanding creators and content in creative fields such as dance, music, film, and other performing and visual arts.
Provenance (5 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_69f0bd461c208190bec20bbf24e02cc5 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c5eea08819084483ef268d36b28 |
completed | May 2, 2026, 9:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a260c1d26808190bc20421b57b908f5 |
completed | June 8, 2026, 12:26 a.m. |
| NEDg | Description generation | batch_6a261065aefc8190b2945fba730d44ba |
completed | June 8, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2614a384988190939b488b13114459 |
completed | June 8, 2026, 1:02 a.m. |
Created at: April 28, 2026, 4:31 p.m.