Triple
T29829032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real World brand |
E757462
|
entity |
| Predicate | hasCreativeVenture |
P128807
|
FINISHED |
| Object | record label operations |
—
|
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: record label operations | Statement: [Real World brand, hasCreativeVenture, record label operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCreativeVenture Context triple: [Real World brand, hasCreativeVenture, record label operations]
-
A.
hasEntrepreneurialActivity
chosen
Indicates that an entity engages in or is associated with starting, managing, or operating business or venture-related activities.
-
B.
hasFoundedCompany
Indicates that a person or entity has established or created a company.
-
C.
hasEntrepreneurialSignificance
Indicates that something plays an important role in, or has notable impact on, entrepreneurial activity, opportunities, or outcomes.
-
D.
startedBusinessWith
Indicates that two or more entities jointly initiated or founded a business together.
-
E.
hasCreatedWorksFor
Indicates that one entity has produced or created works (such as art, documents, or products) on behalf of or for the benefit of another entity.
- 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_69f22457c84c8190a6d9f56bc74082a9 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 29, 2026, 5:33 p.m.