Triple
T8347294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tucker Martine |
E196071
|
entity |
| Predicate | roleAtStudio |
P38510
|
FINISHED |
| Object | owner of Flora Recording & Playback |
—
|
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: owner of Flora Recording & Playback | Statement: [Tucker Martine, roleAtStudio, owner of Flora Recording & Playback]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtStudio Context triple: [Tucker Martine, roleAtStudio, owner of Flora Recording & Playback]
-
A.
associatedWithArtistStudio
Indicates that an entity has a relationship or connection to a particular artist’s studio, such as being located in, created in, or otherwise linked to that studio.
-
B.
hasStudio
Indicates that an entity (such as a film, game, or production) is associated with or produced by a particular studio.
-
C.
roleAtInstitution
chosen
Indicates that an entity holds or has held a specific role or position within a particular institution.
-
D.
partnerStudio
Indicates that one entity serves as a partner studio associated with, collaborating with, or officially linked to another entity.
-
E.
collaboratorRole
Indicates the specific function, position, or capacity in which one collaborator participates in a shared activity or project with another.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8013d81c81908da48466cffb3939 |
completed | March 31, 2026, 8:04 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:58 p.m.