Triple
T36087696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nothing Studios |
E1043825
|
entity |
| Predicate | hasCreativeFunction |
P193092
|
FINISHED |
| Object | songwriting space |
—
|
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: songwriting space | Statement: [Nothing Studios, hasCreativeFunction, songwriting space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCreativeFunction Context triple: [Nothing Studios, hasCreativeFunction, songwriting space]
-
A.
hasCreativeScope
Indicates that one entity possesses authority or responsibility to make creative decisions or contributions within a defined domain or project.
-
B.
hasFictionalFunction
Indicates that an entity serves a role, purpose, or function within a fictional context or narrative.
-
C.
hasCreativeModel
Indicates that an entity is associated with or utilizes a particular creative model (e.g., a generative or design model) for producing creative outputs.
-
D.
hadFunction
Indicates that an entity previously served or fulfilled a particular role, purpose, or function.
-
E.
hasCreativeMission
Indicates that an entity is engaged in or guided by a specific creative purpose, goal, or overarching artistic objective.
- 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_69f76e32d60c8190ba781ffaaab4aa3d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69fd37b45b4481908b947b52fbcb7ade |
completed | May 8, 2026, 1:09 a.m. |
Created at: May 3, 2026, 4:08 p.m.