Triple
T35205404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomica Wright |
E1016516
|
entity |
| Predicate | legalFormOfOrganizationManaged |
P51147
|
FINISHED |
| Object | independent record label |
—
|
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: independent record label | Statement: [Tomica Wright, legalFormOfOrganizationManaged, independent record label]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalFormOfOrganizationManaged Context triple: [Tomica Wright, legalFormOfOrganizationManaged, independent record label]
-
A.
governsLegalForm
Indicates that one entity determines or regulates the legal form or legal status under which another entity is constituted or operates.
-
B.
belongsToCompanyLegalForm
chosen
Indicates that an entity is associated with or classified under a specific legal form of a company.
-
C.
typicalLegalForm
Indicates the standard or commonly used legal organizational form associated with an entity.
-
D.
proposedLegalForm
Indicates the legal structure or organizational form that has been suggested or planned for an entity, but not yet finalized or adopted.
-
E.
organizationTypeGoverned
Indicates that one entity governs or has authoritative control over a specific type or category of organization.
- 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_69f76ddf549c8190869d0af076fd2c28 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff956dc6548190979171d4b4068d47 |
completed | May 9, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69ff93dc39c481908a97a12c3ef7dfe7 |
completed | May 9, 2026, 8:06 p.m. |
Created at: May 3, 2026, 4:02 p.m.