Triple
T34647357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Digital Farm Animals |
E889735
|
entity |
| Predicate | performsAsDJ |
P31571
|
FINISHED |
| Object | at music festivals |
—
|
LITERAL 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: at music festivals | Statement: [Digital Farm Animals, performsAsDJ, at music festivals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performsAsDJ Context triple: [Digital Farm Animals, performsAsDJ, at music festivals]
-
A.
performsMusicIn
chosen
Indicates that an entity presents or plays music within a particular venue, event, or context.
-
B.
hasDJPerformances
Indicates that an entity features or hosts performances by a DJ.
-
C.
performsMusicFrom
Indicates that one entity presents or executes a musical work that originates from or was created by another entity.
-
D.
performsSongWith
Indicates that two or more entities jointly perform or present a song together.
-
E.
notableDJ
Indicates that the subject is recognized as a distinguished or prominent disc jockey (DJ), known for their impact or reputation in the field.
- F. None of above.
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_69f349d825c88190bfc6170ac9281260 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fed83b1d188190a318b0ad3003200a |
completed | May 9, 2026, 6:46 a.m. |
| PD | Predicate disambiguation | batch_69fed78e03548190b6e6ad93ae8d131d |
completed | May 9, 2026, 6:43 a.m. |
Created at: May 1, 2026, 2:04 a.m.