Triple
T37164688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | fairlightFX audio plug-ins |
E920760
|
entity |
| Predicate | requiresHost |
P11374
|
FINISHED |
| Object | DaVinci Resolve |
—
|
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: DaVinci Resolve | Statement: [fairlightFX audio plug-ins, requiresHost, DaVinci Resolve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresHost Context triple: [fairlightFX audio plug-ins, requiresHost, DaVinci Resolve]
-
A.
hostRequirement
chosen
Indicates that one entity specifies or imposes necessary conditions or resources that another entity (the host) must provide or satisfy.
-
B.
usesHost
Indicates that one entity makes use of another entity as its host or hosting environment in order to function, operate, or reside.
-
C.
qualifiedAsHost
Indicates that an entity has met the necessary criteria or standards to serve in the role of a host.
-
D.
hasMainHost
Indicates that one entity serves as the primary or principal host for another entity.
-
E.
supportsHostType
Indicates that one entity is capable of operating with, accommodating, or being compatible with a specified host type.
- 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_69f76ea0429081908c711b55599eac3c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00315632a8819092290f455babd7ee |
completed | May 10, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_6a002f54a0dc81909b0e54c5e110e67c |
completed | May 10, 2026, 7:10 a.m. |
Created at: May 3, 2026, 4:15 p.m.